Gabriel Lucas da Silva
Rio de Janeiro
Summary
Brazilian-based Python Software Engineer with a strong background in Computer Engineering and over two years of hands-on AI experience. Skilled in utilizing advanced technologies such as OpenCV, PyTorch, LangChain, LangGraph, TensorFlow, and Azure to develop and deploy high-performance AI solutions. Successfully brought a project back on track after falling behind schedule for several months by leveraging solid software engineering foundation and ensuring timely delivery. Achieved remarkable results by reducing the margin of error from 30% to 3-5% through implementing new algorithms based on software development experience and utilizing OpenCV and sci-kit-learn for clustering. Excels in fostering client relationships and presenting solutions in a compelling manner that showcases the team's skills and leaves clients eager for the finished project. The objective is to develop solutions that improve the planet and leave a legacy of kindness and hope for future generations.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Python Backend Software Engineer
Citric Sheep
02.2024 - Current
- Engineered and implemented a high-precision computer vision system for real-time luggage dimensioning using RGBD camera technology on conveyor belts
- The solution dramatically improved measurement accuracy from 30% error margin to 3-5%, delivering a robust and tunable system that became a reliable cornerstone of the operation's automation pipeline
- The architecture leveraged YOLO, SAM, OpenCV, and custom depth-based algorithms for dimensional calculations
- Developed a chatbot system that helped sales representatives take advantage of the company's API and provide data-driven insights
- Designed and developed an agentic workflow using LangGraph and LangChain to orchestrate the LLMs and provide more specific prompts for each chatbot task
Data Engineer
AI Solutions
05.2023 - 02.2024
- Enhanced and optimized the existing testing for a critical database migration project, implementing automated solutions and leading the testing to ensure data integrity across complex ETL processes.
- Improvements streamlined validation workflows and reduced manual testing efforts by generalizing test patterns. This enabled faster migration cycles while maintaining high data quality standards and reducing development time by approximately 15%.
- The optimization leveraged SQL for comprehensive data validation, Jinja templating for test automation, and Python for ETL pipeline testing, demonstrating problem-solving solid skills in database migration and test automation.
Frontend Software Engineer
ENGETEC MEDICAL
01.2020 - 06.2020
- Developed the front end in Flutter for an electronic time-tracking app.
- Collaborative team environment.
- Implemented five pages in 2 months.
- Developed scalable and maintainable code, ensuring long-term stability of the software.
Education
Master of Science - Computer Graphics
Instituto De Ciências Matemáticas E De Computação (ICMC) - USP
São Paulo - SP, Brazil01-2025
Bachelor of Science - BS - Computer Engineering
Universidade Federal De Mato Grosso Do Sul
Campo Grande - MS, Brazil01.2021
Skills
- Python
- API Development
- Software Development
- Computer Simulations
- ML
- Computer vision
- Azure
- Deep Learning
Certification
- LARC/CBR-2018 IEEE Standard Education Kits - IEEE
- LARC/CBR-2019 @home - IEEE
- Scrum Foundation Professional Certificate(SFPC) - Certiprof
- Front-end Development with React - Coursera
- Applying SOLID Principles in practice - Udemy
Languages
English
Bilingual or Proficient (C2)
Portuguese
Bilingual or Proficient (C2)
Timeline
Python Backend Software Engineer
Citric Sheep
02.2024 - Current
Data Engineer
AI Solutions
05.2023 - 02.2024
Frontend Software Engineer
ENGETEC MEDICAL
01.2020 - 06.2020
Master of Science - Computer Graphics
Instituto De Ciências Matemáticas E De Computação (ICMC) - USP
Bachelor of Science - BS - Computer Engineering
Universidade Federal De Mato Grosso Do Sul
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