# Candidate Profile: Lucas Nunes de Assis ## Executive Summary Senior Python and Data Engineer, currently at Paramount, with 7+ years across cloud architectures (Azure, AWS), backend systems, and end-to-end data pipelines. I've led a 6-person engineering team, built Medallion pipelines processing 500M+ rows (Spark, Databricks, Airflow), and designed real-time video analytics handling 200 concurrent streams with computer vision and LLM-powered search. Alongside engineering, I co-founded an education startup and trained 40+ developers, over 80% of whom were hired within months. I work best in distributed, international teams turning business problems into scalable data systems. --- ## Contact & Online Presence * **Email:** [lucas.nunes.de.assis@gmail.com](mailto:lucas.nunes.de.assis@gmail.com) * **LinkedIn:** [linkedin.com](https://www.linkedin.com/in/lucasnunesdeassis/) * **GitHub:** [github.com](https://github.com/kilerhg) * **Portfolio:** [lucasnunes.me](https://lucasnunes.me) * **Kaggle:** [kaggle.com](https://www.kaggle.com/kilerhg) --- --- ## Target Roles * **Data Tech Lead / Tech Lead:** Steering multi-disciplinary engineering teams, defining software/data architecture blueprints, mentoring developers, and aligning technical execution with strategic business goals. * **Senior Data Engineer:** Designing and scaling distributed data systems, robust ETL/ELT pipelines (Medallion architecture), and managing cloud data warehouses/lakehouses. * **Senior Python Engineer / Senior Backend Engineer:** Architecting high-performance microservices, designing scalable RESTful/gRPC APIs, implementing concurrent systems, and ensuring clean-code practices. --- ## Core Skills ### Technical Expertise * **Programming Languages & Frameworks:** Python (Expert), JavaScript, Bash, VBA, Object-Oriented Programming (OOP) * **Backend & API Architecture:** FastAPI, Flask, REST APIs, Microservices, Application Development, Back-End Web Development, Serverless Computing, System Architecture * **Data Engineering & Orchestration:** Extract, Transform, Load (ETL/ELT), Pipeline Construction, Data Pipelines, Batch Processing, Real-Time Data Integration, Data Collection, Data Mining, Apache Airflow, Azure Data Factory, dbt * **Big Data & Cloud Data Warehouses:** Apache Spark, PySpark, Azure Databricks, Databricks, Unity Catalog, Snowflake, Google BigQuery, Elasticsearch, Big Data Ecosystems * **Data Science, AI & Advanced Analytics:** Data Science (Ciência de Dados), Data Analytics (Análise de Dados), Business Intelligence (BI / Inteligência de Negócios), Machine Learning, Scikit-Learn, PyTorch, Pandas, NumPy, Datasets * **Generative AI & Intelligent Agents:** Large Language Models (LLM), Agentic AI, LangChain, Natural Language Processing (NLP), InstructLab, Neural Networks, Artificial Intelligence (AI), Prompt Engineering * **Computer Vision & Video Streaming:** Computer Vision, YOLO, Real Time Streaming Protocol (RTSP), WebRTC, Live Stream Handling * **Database Systems & Advanced Search:** SQL, Relational Databases, PostgreSQL, pgvector, Vector Databases, NoSQL, MongoDB, SQLite, JSON * **Cloud Infrastructure, DevOps & Security:** Amazon Web Services (AWS), Microsoft Azure, Cloud Applications, Infrastructure as Code, Containerization, Docker, GitHub, Git, Linux (Debian), IT Automation, Software Development Security * **System Engineering & Optimization:** Troubleshooting, System Performance, Optimizing Performance, Computer Science, Computer Engineering, Software Development ### Methodologies & Core Strengths * **Agile Frameworks:** Agile Methodologies, Scrum, Kanban * **Project & Delivery Management:** Project Management, Data Modeling, Data Governance * **Professional Competencies:** Creative Problem Solving, Troubleshooting, Communication, Presentation Skills, Microsoft Excel, Microsoft Power BI ### Languages * **Português:** Native * **English:** Fluent * **Spanish:** Fluent ### Data & Technical Skills * **Engineering & Big Data:** ETL/ELT pipelines, Medallion Architecture (Bronze/Silver/Gold data streams), Apache Spark, PySpark, Apache Airflow, Azure Data Factory, dbt, Snowflake, Web Scraping, Regex, File Manipulation (JSON, CSV, XLSX, TXT) * **Backend & API Development:** FastAPI, Flask, RESTful APIs, Microservices, Micro-aggregators, Real-Time Ingestion * **Database Knowledge:** PostgreSQL (including pgvector), MySQL, SQLite, MongoDB, NoSQL (Document, Key-Value, Graph, Columnar sets) * **Cloud & DevOps:** Azure, AWS (EC2, S3, Console Manager), Docker Containerization, Linux environments, Redis, Jupyter Notebook * **Advanced Analytics & AI:** Computer Vision (YOLO, PyTorch), Machine Learning (Regression, Classification, Feature Engineering), Deep & Reinforcement Learning, Time Series Analysis, Natural Language Search, AI Agents, Agentic AI, LangChain, Prompt Engineering, Generative AI (ChatGPT, Gemini, DeepSeek, Copilot, Lovable, etc.) * **Networking & IoT:** Edge Services, MQTT-based messaging for device control, RTSP, WebRTC video streaming frameworks * **Business Intelligence & Methodology:** Power BI, Tableau, Looker Studio, Storytelling with Data, KPI & Business Metric Identification/Definition, Dimensional Modeling (Fact and Dimension Tables), Data Visualization techniques (color theories, graphic types), Postman, Agile (Scrum, Kanban), Project Management --- ## Professional Experience ### Paramount **Senior Python/Data Engineer** | *September 2026 – Present (1 month)* ### Focuz Analytics **Senior Python/Data Engineer** | *May 2025 – July 2026 (1 year 3 months)* **Problem / challenge** Built an AI-first video analytics platform with a small, distributed international team, aimed at security and customer-experience use cases. The core challenge was ingesting and processing live video from 100+ cameras across multiple edge-site locations, running computer vision in near real time, and making footage searchable in plain language — all while keeping the system reliable across distributed sites and shipping across time zones. **What I did & the impact** * Designed scalable Python/FastAPI backend services and an edge service for camera communication and video streaming (RTSP/WebRTC via go2rtc), handling 200 concurrent streams from 100+ cameras across multiple edge locations. * Automated provisioning and management of edge sites with Ansible, making deployments across distributed locations repeatable and reducing manual setup. * Implemented MQTT-based messaging for IoT device control across the camera fleet. * Integrated computer vision (YOLO, PyTorch) and natural-language search over video using PostgreSQL + pgvector, letting users find footage in plain language rather than scrubbing through feeds. * Built LLM-powered agentic AI workflows with LangChain, connecting language models to the platform's vector search and camera metadata for video analytics and search. * Worked on the analytics data layer with dbt and Snowflake, structuring platform data for reporting and downstream analysis. * Containerized the stack with Docker on Linux for reproducible deploys across edge and cloud. **Learnings & growth** * Came in with a solid senior Python and data-engineering background, but this was my first time owning edge infrastructure end to end — learned to reason about streaming, latency, and distributed-site reliability rather than batch/data pipelines. * Picked up a new technology stack from scratch: MQTT, RTSP, WebRTC, and go2rtc for real-time video at the edge, plus dbt, Snowflake, and LangChain on the data and AI side. * Grew at managing fleet-scale infrastructure declaratively with Ansible and at async collaboration across an international team. * *Technologies utilized:* Python, FastAPI, PostgreSQL, pgvector, Snowflake, dbt, LangChain, PyTorch, SQLite, MQTT, RTSP, WebRTC, go2rtc, Ansible, Docker, Linux, YOLO. ### Start Future **Co-Founder, Software Development & Data Engineering Teacher** | *October 2021 – January 2026 (4 years 4 months)* | *São Paulo, Brazil* **Problem / challenge** Co-founder and software development teacher at Start Future, a venture I ran for ~4 years with two friends around a clear mission: make quality education affordable. The teaching thread started earlier — I'd been drawn to it since high school through study groups and serving as whole-school student representative, and in early 2021 I created "Pythonland," a study group (mostly friends and referrals) with weekly sessions and 1-on-1s to help people define learning and career roadmaps in IT. Start Future turned that instinct into a real organization. The core challenge was building an intensive 3-month bootcamp that could take students with varied backgrounds and genuinely prepare them for different roles — Front-end, Back-end, UX/UI, or Scrum Master — each needing its own tailored curriculum and dynamics, while simultaneously getting the business itself off the ground: partnerships, funding, and events. **What I did & the impact** * Co-founded and co-led the startup for ~4 years, owning partnerships alongside co-leading the organization overall. * Designed and ran an intensive 3-month bootcamp with role-specific tracks (Front-end, Back-end, UX/UI, Scrum Master), including the tailored classes and dynamics for each — and filled the cohorts with students. * Taught and mentored over 40 students across the four years; more than 80% landed jobs within a few months of finishing — and since most were seeking their first role, they consistently cited the Start Future experience as the standout case in their interviews. * Took the company through FIAP's startup acceleration program, which opened doors to multiple business partnerships and high-end venture events — including opportunities to pitch to Brazil's Shark Tank backstage evaluation team and to angel investors. * Placed top 10 in FIAP's yearly student-startup competition, external recognition for the venture among its peers. * Ran "Pythonland" beforehand — weekly group sessions plus 1-on-1 career and learning-roadmap guidance, helping people find a direction in IT based on their background and interests. **Learnings & growth** * The most solid leadership experience I've had — co-leading an organization end to end, not just a team within someone else's structure. * Learned to operate on two fronts at once: the business side (partnerships, acceleration program, pitching to investors, events) and the delivery side (teaching, curriculum design, managing students through projects). * Developed curriculum-design skills, building distinct learning tracks for four different career paths rather than teaching one thing one way. * Deepened my ability to meet learners where they are — a through-line from Pythonland's 1-on-1 roadmapping to managing 40+ students — and to translate technical material for people at very different starting points. * Learned to pitch and sell a vision to external stakeholders — investors, partners, and students alike — and sustained a mission-driven venture over four years, gaining the resilience and range that running something long-term demands. ### Kantar IBOPE Media **Mid-Senior Software/Data Engineer** | *April 2024 – May 2025 (1 year 2 months)* | *São Paulo, Brazil* **Problem / challenge** Worked in a global, multidisciplinary team (LATAM, Europe, Asia) building a budget-management product for advertising campaigns — covering pre-campaign, post-campaign, and live "on-flight" optimization across cross-media channels (TV, YouTube, Facebook, Instagram). The challenge was unifying fragmented data from multiple ad exchanges and channels into reliable, real-time metrics that marketing teams could act on while campaigns were still running. **What I did & the impact** * Implemented multiple solutions end-to-end, from ad-exchange and Meta Marketing API integrations through to delivery, providing audience-reach, impact, and conversion metrics segmented by demographics and device type (mobile, TV, social, streaming, VOD). * Built and optimized large-scale data pipelines on a Medallion architecture (ELT/ETL, ingestion, micro-aggregators) using Spark/Databricks, Airflow, and Azure Data Factory — handling 500M+ lines of processing on some projects and improving the performance of multiple pipelines. * Helped design the refactoring of the whole data system, raising performance and maintainability across the platform. * Delivered business-critical KPIs in Power BI built on statistical modeling and data science, served on daily, periodic, and real-time cadences for marketing decision-making. **Learnings & growth** * Came in with strong PySpark and data-engineering fundamentals, but picked up a substantial new stack here: Azure Data Factory, Google BigQuery, and the Meta Marketing APIs, while deepening my Databricks experience. * Learned the marketing/ad-tech business logic from the ground up and got good at translating it into technical implementation — repeatedly bridging the gap between business needs and the data systems behind them. * Grew into a reference point on the team for how the system worked, the person others came to for connecting business logic to tech across multiple projects. ### BDO Brazil **Total Tenure: 3 years** | *São Paulo, Brazil* * **Mid-Senior Software/Data Engineer (Acting Team Lead)** | *August 2023 – April 2024 (9 months)* * **Software Engineer** | *August 2022 – September 2023 (1 year 2 months)* * **Junior Software Engineer** | *May 2021 – August 2022 (1 year 4 months)* **Problem / challenge** My role at BDO Brazil shifted significantly in my third year when the team's manager left. Over the following year I stepped up to fill much of that gap on a team of six — taking on task management, team leadership, and acting as the bridge between the company Partners (who also served as Product Owners) and the engineering team. The core challenge was operating on both ends at once: pulling priorities and requirements out of the Partners, then translating them into clear, actionable tasks and design guidance for the team, largely through back-to-back calls each day. On top of this, a company-wide re-prioritization surfaced high-risk security vulnerabilities in our software — high enough stakes that they had to be remediated within a few months — with me as the point person working alongside the cybersecurity team. **What I did & the impact** * Progressed from Junior to Mid-Senior Software/Data Engineer over three years, and stepped into an acting team-lead role after the manager's departure — effectively leading a team of six for a year, owning task management, prioritization, and acting as the main interface between Partners/POs and the engineering team. * Led remediation of high-risk vulnerabilities alongside the cybersecurity team — identified the issues, drove the fixes, and cleared them within the critical few-month window before they became a serious risk to the company. * Owned AWS deployments (EC2, ECS, Lambda, with load-balanced apps) and acted as one of the main PR reviewers, safeguarding code quality and keeping delivery moving. * Represented the team at internal meetings and gave public talks at internal conferences, becoming the team's external-facing voice. * Unblocked engineers on hard technical problems and helped design solutions when teammates got stuck. * Across the tenure, delivered the core engineering work behind these responsibilities: advanced web scraping and data-harvesting engines, data processing and mining workflows, automated file manipulation (`.json`, `.csv`, `.xlsx`, `.txt`), clean RESTful APIs and dynamic HTML rendering with Flask, automated report generators (Excel, CSV, layout-clean PDFs), and end-to-end web automation routines to boost corporate efficiency. **Learnings & growth** * Grew from an individual contributor into a de-facto lead of a six-person team almost overnight — learned task management, prioritization, and leadership under real pressure rather than in a planned transition, and sustained it over a year. * Developed the skill of translating between two very different audiences: extracting and clarifying priorities from business stakeholders, then communicating them clearly to engineers (and vice versa). * Got significantly closer to security for the first time — learned to assess and remediate real, high-risk vulnerabilities under time pressure, working hand-in-hand with a dedicated cybersecurity team. * Built confidence in public speaking and representing a team's work to the wider company. * *Technologies utilized:* Python, FastAPI, Flask, MySQL, PostgreSQL, MongoDB, Docker, AWS (EC2, ECS, Lambda, Load Balancing, Cloud9), Linux. ### Exotic India **Volunteer Exchange Program Developer (via AIESEC)** | *May 2022 – June 2022 (2 months)* | *Delhi, India* **Problem / challenge** A volunteer exchange in India through AIESEC, which I took on using the entirety of my vacation days from my role at BDO — my first international experience of any kind (first flight, first time abroad, first time using English daily). I joined a traditional Indian e-commerce company, initially slated as a photographer's assistant, but after an interview with the owners at the end of my very first day — where they saw my tech background — they moved me onto a brand-new data team. The central challenge sat in their book-listing workflow: they scanned and edited large numbers of books by hand every day to upload to their site, cropping each one manually — a slow, repetitive bottleneck. Alongside this, the new data team had no visualization, dashboarding, or real-time data infrastructure at all. **What I did & the impact** * Built a Python + OpenCV application that automatically detected book covers and pages and cropped them, cutting processing from ~3 minutes to ~1 minute per book — a 3x productivity gain on a high-frequency daily task. * Packaged the tool as a standalone local binary, so it ran on their machines with no complex deployment or infrastructure required. * Scoped the automation myself by talking directly to the area's owner to understand which parts of the manual workflow could realistically be automated. * Built a Grafana platform from scratch — including deployment — and created specific dashboards, giving the new data team its first visualization environment. * Set up an MVP ELK stack with Docker so the team could handle their real-time data — another piece of foundational infrastructure that hadn't existed before. **Learnings & growth** * My first international experience on every axis at once — first flight, first time in a foreign country, first time relying on English day-to-day — which stretched me well beyond the technical work. * Learned to adapt fast when my role changed unexpectedly: reassigned from photographer's assistant to owning technical projects on a brand-new data team after a single day, following a first-day interview with the owners. * Chose to spend my entire vacation allowance on a volunteer placement abroad — a deliberate bet on growth, new cultures, and practicing English over rest. * Practiced translating a vague business pain point ("this is slow") into a scoped, shipped automation by working directly with the person who owned the process. * Grew in cross-cultural collaboration and communicating technical ideas to non-technical stakeholders in a second language. ### Caixa Econômica Federal **Intern - Developer/Data** | *February 2018 – February 2020 (2 years 1 month)* | *São Paulo e Região, Brasil* **Problem / challenge** My very first role, started while I was in my second year of high school at Caixa Econômica Federal, one of Brazil's largest public banks — a fixed 2-year contract from the outset (permanent roles in Brazilian public organizations require an exam that only opens every 5–10 years and wasn't open at the time, so I knew the timeframe going in). I was originally hired as an administrative assistant — printing and organizing documents, printer maintenance, sending cards, and general office tasks. On my first day, while I was waiting at reception for a slow onboarding, the IT Director struck up a conversation, discovered my interest in technology (I'd started IT courses at nine and had already taught myself JavaScript and Visual Basic), and heard me out. The challenge that shaped the role: in a public bank with very high security standards, I had intranet-only access and the sole programming environment available was Excel with VBA — so any automation I wanted to build had to be done within those tight constraints. **What I did & the impact** * Moved from administrative work into development within ~3 months, building automations in VBA: spreadsheet automation and maintenance, results-comparison charts between regional business units, certificate generation and updates, supplier-result comparisons, and direct-mail data processing and generation. * Wrote macros to automate repetitive daily tasks, plus minor Bash scripts for file organization and backup, working entirely within the bank's locked-down, intranet-only environment. * By my second year, took ownership of several data pipelines end-to-end — coordinating directly with other departments of the bank to deliver them. * Became the go-to person for smaller daily-basis automations, since most developers were tied up on high-priority work — freeing their time by absorbing that recurring workload. **Learnings & growth** * My first professional role of any kind, taken while still in high school on a known 2-year contract — learned how a large, highly regulated organization actually works from the inside. * Learned to build real, useful software within hard constraints (intranet-only, VBA as the only available language) rather than reaching for the ideal tool — a lesson in solving the problem with what's actually in front of you. * Taught myself Scrum and Kanban through the bank's internal learning platform and applied them on my own daily basis — Scrum to organize projects and Kanban to manage all my tasks — building working habits I wasn't required to adopt. * Grew from executing assigned tasks into owning projects and pipelines end-to-end, including talking to other departments and taking responsibility for delivery. * Had my interest in software engineering recognized and backed early — an experience that validated the path I'd been teaching myself since childhood. --- ## Education ### FIAP (Centro Universitário) * **Postgraduate Degree (Lato Sensu Specialization), Data Engineering & Data Analytics** | *October 2024 – September 2025* * **Status:** Graduated / Fully Certified. * **Curricular Matrix & Official Grades (Conceito, out of 100 · 360 total hours):** * *Exploratory Data Analysis:* **95.5** (34 hours) * *Data Visualization:* **95.5** (34 hours) * *Statistics and Linear Algebra in Python:* **95.5** (10 hours) * *Machine Learning with Python:* **94.5** (22 hours) * *Advanced Machine Learning:* **94.5** (32 hours) * *Time Series Analysis:* **94.5** (32 hours) * *Big Data Framework:* **95.5** (32 hours) * *Databases for Big Data:* **95.5** (34 hours) * *Business Analytics:* **95.5** (22 hours) * *Application Deployment:* **95.5** (22 hours) * *ML Models in Production:* **95.5** (22 hours) * *Deep & Reinforcement Learning:* **80.5** (30 hours) * *Human Generated Data:* **80.5** (34 hours) * **Bachelor's Degree, System Analysis and Development** | *July 2021 – July 2023* ### Saga Art School * **Graphic Design** | *January 2015 – January 2017* ### All Net Núcleo de Formação * **Information Technology Specialist** | *January 2013 – January 2015* * **Information Technology Fundamentals** | *January 2011 – January 2013* --- ## Certifications * Azure Spark Databricks Essential Training * Azure Data Factory * Learning Apache Airflow * Curso Python 3 Mundo 1 (Python Core Training) * Apache PySpark by Example --- ## Honors, Awards & Academic Achievements * **1º Place – FIAP Inaugural Class Challenge:** Pioneered, built, and pitched an environmental monitoring solution leveraging advanced Computer Vision and Artificial Intelligence mechanics. * 1º **Place – Enterprise Challenge (Daikin partnership)**: Conceptualized a custom design solution architecture and delivered the winning pitch presentation. * 2º **Lugar (2nd Place)** – Enterprise Connection Builtcode: Selected as a top solution design for complex system blueprint drawing. * **High Performance Student Designation**: Formally documented and labeled by academic review panels for consistent performance excellence across computing disciplines. ## Technical Publications Title: Talent Recommendation System Focus: This project develops an Intelligent Talent Recommendation System using advanced Machine Learning and Natural Language Processing (NLP) techniques. The system analyzes job descriptions and candidate profiles to perform accurate matching, helping companies streamline talent selection. Date: Jul 2, 2026 Title: Obesity Prediction Focus: This project aims to develop a predictive system to assist physicians and healthcare professionals in predicting obesity in patients. Obesity is a medical condition characterized by the excessive accumulation of body fat, which may negatively impact health. The system uses a Machine Learning model trained on patient data to predict obesity levels and provide personalized insights for the medical team. Date: Jun 25, 2026 Title: Analyzing the data of COVID-19 Focus: This project aims to process PNAD COVID-19 data using the Medallion data architecture (Bronze, Silver, and Gold). Starting from raw data, the pipeline performs transformations and analyses to generate insights into the impacts of COVID-19 on the Brazilian population. Date: Jun 18, 2026 Title: Predicting the stock market with AI Focus: This project aims to process data to forecast stock market values, specifically the "IBOV" index. The project uses a Medallion architecture approach (Bronze, Silver, and Gold layers) to process and transform the data. Date: Jun 11, 2026 Title: Market Analysis and Statistics on Brazilian Wine Exports Original (Portuguese): Análise Mercadológica e Estatística da Exportação de Vinhos Brasileiros Focus: Deep exploratory data dive and statistical visualization modeling reviewing trading parameters, target demographics, and exportation scale indices for national beverage goods. Date: Jun 4, 2026 --- ## Recommendations > **Oleg Zaidiner** > *AI-First Tech Leader (Managed Lucas directly at Focuz) — May 2026* > "I worked with Lucas for over a year at Focuz, where he joined us early — when the product was still taking shape and the team was small. That context matters: being useful at a prototype stage, when requirements shift weekly and there's no playbook, takes a specific kind of person. More than the technical work, he was someone you could count on to show up, do what he said he'd do, and keep a decent attitude even when things were uncertain — which in an early-stage startup is a lot of the time. He's a good person to work with, and I hope our paths cross again." --- > **Łukasz Wąsowicz** > *Backend Delivery Guy (Worked on the same team at Focuz) — May 2026* > "Lucas is a strong backend engineer with deep experience in Docker and container-based services. He consistently demonstrates ownership, clear communication, and a reliable problem-solving mindset. Working with him was always smooth and productive — he brings both technical expertise and a collaborative attitude to the team." --- > **Sapna Madaan** > *People & Culture Architect | HR Transformation & Training Advisor (Managed Lucas directly) — June 2022* > "An exceptional professional who demonstrated agility and strong organizational impact during our time collaborating on global workplace initiatives." --- > **Victor Sousa** > *Backend Developer | C# | .NET | Java | Spring (Worked on the same client/project) — May 2024* > "It is with great enthusiasm that I recommend Lucas as an elite software developer and a highly skilled complex problem solver. His passion for programming, impressive technical skills, and talent for solving challenges make him an invaluable asset to any development team." --- > **Igor Nunes Teixeira** > *Software Engineer at XP Inc. | C# | .NET | SQL | Azure (Worked on the same client/project) — September 2023* > "Lucas Nunes is one of those professionals who leave an indelible mark on every project they are involved in. When collaborating with him, I quickly realized that his approach as a software developer goes beyond code: he embodies the essence of leadership and mentorship. With a rare combination of technical intuition and communication skills, Lucas has the ability to transform complex challenges into elegant, educational solutions. He not only elevated the quality of our project but also lifted my understanding and passion for the field. Having Lucas as a mentor was a turning point in my professional trajectory. In a sea of talent, he stands out as a compass, directing and inspiring everyone around him. I recommend Lucas blindly for any project seeking excellence and a lasting impact." --- > **Nicholas Ribeiro** > *Full Stack AI Engineer | C#, Python, NodeJs (Worked on the same client/project) — September 2023* > "An exceptionally talented and dedicated professional. During our time together, I witnessed his incredible problem-solving ability, creativity, and patience. His passion for work is evident in everything he does, and he is always willing to go above and beyond to achieve extraordinary results." --- > **Ramon Rodrigo Machado** > *IT Manager at BDO Brazil | MBA in DevOps Engineering | IT Security (Worked at the same company, different team) — May 2024* > "Excellent professional, communicative, and extremely intelligent. He has great potential ahead—a backend developer (Python) with a true passion for data analytics! He supported me with security for development and cloud management. Best regards." --- > **Victor Rodrigues** > *Video Editor | Content Creator | Traffic Manager (Worked together on a project, different companies) — October 2021* > "Lucas is a great professional with incredible creativity in his projects. He is always focused on innovation, and I am very proud to have had the opportunity to complete a project together with him." --- > **Willian Pires Vareiro** > *Mechanical Engineer at World Caldeiraria | Project Management MBA (Studied together) — August 2021* > "An excellent professional with an outstanding vision for problem-solving and strong proficiency in Python, Scilab, and Matlab programming." --- > **Guilherme Maximo** > *Trainee @ Itaú Unibanco | Business Strategy | Data Analytics (Worked together on a project, different companies) — April 2021* > "Lucas is a great professional. He is patient, communicative, proactive, and extremely competent. At all times, he showed a strong willingness to help and support the resolution of our project in the most rational and effective way. I would absolutely work with him again!"