👋 Hi! I'm Jeferson Franco, a Full Stack Engineer with 5+ years of expertise in designing, developing, and deploying high-performance, scalable web applications. I specialize in Python (FastAPI, Flask, Django REST), JavaScript (React.js, Node.js, TypeScript), and Go/Java. Passionate about leveraging AI/ML (LLMs, RAG, MCP) to deliver innovative solutions and automate complex workflows. Strong background in data engineering, cloud platforms (AWS, GCP), and microservices architecture.

I'm a highly motivated professional with over 5 years of proven expertise in designing, developing, and deploying robust web applications. My journey has taken me through various industries, from financial services to SaaS development, where I've honed my skills in full-stack solutions, data processing, and AI integration.

I believe in the power of technology to solve real-world problems and am committed to continuous learning and staying at the forefront of emerging trends in web development and artificial intelligence.

Jul 2025 - Present (11 mos)

• Contributing to Performance Reporting initiative: modernizing portfolio setup and reporting workflows
• Building React/TypeScript frontend with intuitive UX, integrating backend microservices
• Implementing new UI components, optimizing data flows, and improving accessibility
• Resulting in faster onboarding and more actionable insights for investment clients

Feb 2025 - Jul 2025 (6 mos)

• Architected and developed full-stack solutions for NDA clients using React.js, Next.js, and Node.js
• Implemented Retrieval-Augmented Generation (RAG) systems integrated with LLMs for customer support optimization
• Designed robust RESTful and GraphQL APIs using FastAPI and Flask with JWT authentication
• Project Alpha: Built FastAPI microservices handling 5,000+ requests/min with PostgreSQL and Docker, achieving 99.9% uptime
• Created automated ETL pipelines using Python and Apache Airflow for AWS infrastructure
• Developed Flask-based CLI tools reducing manual processing time by 70%

Apr 2023 - Feb 2025 (1 yr 11 mos)

• Developed interactive data visualization dashboards for Nivea, Pepsico, Reckitt using React.js, TypeScript, PostgreSQL, QlikSense
• Led performance optimization: reduced Docker image sizes, optimized queries, frontend rendering with memoization/code splitting
• Contributed to global component library with micro-frontend architecture and internationalization (i18n)
• Authored Python ETL scripts (Prefect) processing 50GB+ daily data into data warehouse
• Implemented automated testing frameworks (Jest, Playwright) to prevent regressions

Mar 2022 - Apr 2023 (1 yr 2 mos)

• Designed and deployed web applications (Onergy, DocsIA) using Node.js and MongoDB
• Architected backend services in Flask and FastAPI for ATC, Biogen clients
• Created DocsIA: Flask-based document processing API with OCR, LLM summarization, Celery + Redis task queues
• Participated in architectural decisions contributing to multi-million contract renewal
• Promoted to Functional Analyst, translating business requirements to technical specifications
• Mentored junior developers on API best practices and performance tuning

Feb 2020 - Mar 2022 (2 yrs 2 mos)

• Developed and maintained web applications using PHP, WordPress, JavaScript, jQuery, React.js, Next.js, Vue.js
• Transitioned internal tools from PHP/WordPress to Python Flask, improving maintainability and test coverage
• Developed proprietary trading algorithms in Python and MQL5 for high-frequency strategies
• Refactored server-side endpoints and database queries, improving page load times by 30% and SEO rankings by 40%
• Implemented responsive designs for cross-device compatibility

Feb 2019 - Feb 2020 (1 yr 1 mo)

• Managed investment portfolios for individual and corporate clients
• Developed proprietary trading algorithms in Python and MQL5 for high-frequency strategies
• Prospected new investors, expanding client base significantly
• Provided personalized consulting on various financial assets

• Developed a Flask-based API integrating OCR and LLM-based summarization with Celery + Redis
• Implemented asynchronous task queues for processing documents
• Deployed production-ready API with monitoring and maintenance capabilities

• Built interactive data visualization dashboards using React.js, TypeScript, and PostgreSQL
• Implemented performance optimizations including memoization and code splitting
• Improved strategic insights by 20% through enhanced data presentation

• Created a system of FastAPI microservices handling 5,000+ requests per minute
• Implemented containerized services with Docker and PostgreSQL via SQLAlchemy
• Achieved 99.9% uptime through proper error handling and monitoring

• Active contributor to various open-source projects
• Advocate for clean code, testing, and documentation
• Participate in technical meetups and knowledge sharing events
• Mentor junior developers on best practices in API design and performance tuning

• Bachelor's Degree in International Business, Trade, and Tax Law - Paulista University (UNIP)
• Relevant coursework: Business Analytics, Process Management, International Trade

• 🇧🇷 Portuguese: Native
• 🇺🇸 English: Advanced (C1)
• 🇪🇸 Spanish: Professional Proficiency

"Empowering minds, guarding freedom, and mentoring humility for a more conscious generation."