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Full Stack Engineer with 2+ years in Web Development & AI/ML integration.
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Assessing your cultural and operational fit
Jonathan Borges is a Full Stack Developer and Software Engineer with 2.4 years of experience specializing in web development, automation, data scraping, and analytics. He is proficient in a wide range of technologies including Node.js, React, Python, PostgreSQL, and cloud platforms like GCP. His expertise spans creating end-to-end applications, designing responsive UIs, implementing ETL pipelines, and contributing to open-source projects. He has a proven track record of significantly improving performance and efficiency in development and operational processes.
Federal University of Uberlândia (UFU)
Bachelor of Information Systems · Information Systems
August 1, 2021 – June 30, 2025
Federal Institute of Triângulo Mineiro (IFTM)
Technical Degree · Computer Graphics
August 1, 2018 – June 30, 2020
Freelancer
Full Stack Software Engineer (Freelancer)
May 1, 2025 – Present
India
PETSIMC
FullStack Web Developer (Scholarship/Internship)
January 1, 2024 – April 1, 2025
Belo Horizonte, Minas Gerais, Brazil
Open Source: Contribution to RAGAS library
June 16, 2026 – Present
Contributed to the open source library RAGAS (+900k monthly downloads), adding traceability for synthetic data, unit tests, and bug fixes in the CI/CD pipeline.
View ProjectNutriCampus - Nutritional Management Platform
June 16, 2026 – Present
Developed a fullstack application with Angular and Python/FastAPI for nutritional tracking. Implemented complete CRUD, RESTful APIs, and PostgreSQL with optimized queries. Web scraping with BeautifulSoup/Selenium for nutritional data extraction and enrichment using LLMs.
ScholarRAG - Intelligent Chatbot with RAG and AI
June 16, 2026 – Present
Implemented an intelligent chatbot with Retrieval-Augmented Generation (RAG) architecture for educational courses, based on a fork of OpenWebUI. Used Python/BeautifulSoup for web scraping, transforming data from unstructured sources into formatted markdown. Processed data with Pandas/NumPy and Matplotlib to gain observability and insights into the knowledge base. Created a robust pipeline with LangChain and Ragas for systematic generation of hundreds of synthetic Q&As and evaluation metrics. Integration with Gemini API, Ollama (qwen-3 embedding), Cypress testing, and deployment via Docker/GCP.
Research to evaluate the effectiveness of different LLMs in frontend development (UI/UX)
Unknown
June 1, 2026 – Present
Article in a Qualis A3 journal and presented at the National IHC 2024 Congress
Qualis A3 journal, National IHC 2024 Congress
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including educational platforms, nutritional management, and AI chatbots, indicates adaptability and a broad interest in different problem domains. Their open-source contributions and research involvement suggest a collaborative spirit and a drive for innovation. The blend of academic background with practical project experience and freelance work demonstrates a well-rounded profile suitable for dynamic team environments. The target role of Full Stack Engineer aligns well with their demonstrated skills and project experience.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong focus on problem-solving, performance optimization, and cost reduction, indicating a results-oriented approach. Their involvement in open-source and research suggests initiative and a continuous learning mindset. The detailed descriptions of their contributions to projects like PetAcademy and ScholarRAG demonstrate good communication of technical achievements and impact.