Experience

1. Full Stack Engineer
   Thinkable AI

   During my time at Thinkable AI, I contributed to integrating advanced features and enhancing the user interface for Profundo, a top 9-ranked product on Product Hunt's Research Agent category. Additionally, I undertook a research project focused on scraping graph data from various web resources

   
   

   This experience allowed me to deepen my expertise in modern web scraping techniques and explore the development of universal web scrapers capable of extracting data across a wide range of online platforms.

   TypeScript

   Next.js (App router)

   Drizzle ORM

   SWR

   TailwindCSS

   RAG
2. Full Stack AI Engineer
   CapitaleTech

   During my experience at CapitaleTech, I developed a candidate management solution called "Talentino." The goal of this solution was to streamline and address inefficiencies in the recruitment process using AI and Generative AI.

   
   

   I started the project from scratch as a Full Stack AI Developer, working with a UI/UX designer. Initially, I created a proof of concept, exploring Generative AI frameworks like Retrieval-Augmented Generation and Agents using LangChain.js. We ensured the feasibility of the project before proceeding.

   
   

   I built the application using Next.js 14's App Router, leveraging the Vercel AI SDK and LangChain integration. I utilized React Server Components and Next.js Server Actions to streamline development. For styling, I used headless UI libraries like ShadcnUI based on TailwindCSS.

   
   

   For the backend, I initially worked with Next.js Server Actions and Route Handlers. As the architecture evolved, we transitioned to a microservices setup with Next.js, Deno edge functions, and FastAPI services.

   
   

   We choose Supabase PostgreSQL for our database, where I designed the schema and utilized Supabase for storage and identity services.

   
   

   For LLM interactions, I used LangChain Expression Language (LCEL) and LangSmith for monitoring, testing, and fine-tuning prompts. I introduced knowledge graphs using Neo4j, designing multiple graphs and combining them with LLMs for superior candidate scoring.

   
   

   Throughout the development of Talentino, I conducted unit testing using Jest to ensure code quality and functionality.

   
   

   This project allowed me to hone my skills in software development and integrate generative AI into web development. It revealed the limitless potential of generative AI, not only in the recruitment sector but across various industries and its applications in modern web development.

   TypeScript

   Next.js (App router)

   Deno

   Supabase(PostgreSQL)

   TailwindCSS

   Knowledge Graphs

   Cypher(Query Language)

   LangChainJs
3. Front End Developer
   GeberLabs

   Led front-end development of a full-stack Content Management System using Next.js. Implemented advanced features such as dynamic home pages, secure authentication, and payment integration. Utilized Redux Toolkit for state management, Tailwind CSS for responsive styling, and TypeScript for better code quality.

   TypeScript

   Next.js (Pages Router)

   TailwindCSS

Projects

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