I am Sebastian Alejandro Reibold, a Software Engineer and advanced university student in Computer Science at Universidad Nacional del Comahue, currently in my 5th year with a GPA of 9 and having completed over 79.6% of my degree. I have experience developing backend systems, APIs, and full-stack applications, as well as building Artificial Intelligence solutions based on Retrieval-Augmented Generation (RAG) and Multi-Agent architectures. I primarily work with Python, TypeScript, and modern web technologies, participating in the design and implementation of productive platforms used in real environments.
Currently, I serve as a Teaching Assistant at the Universidad Nacional del Comahue’s Programming Department, supporting practical classes, exercise resolution, and academic follow-up of students. I have taught programming fundamentals and algorithmic structures in Java and currently collaborate in the Static Web Laboratory, delivering content on HTML, CSS, and JavaScript.
I also work as a Software/AI Engineer at the Ministerio de Gobierno Neuquén, where I develop end-to-end AI solutions, evolving prototypes into productive architectures. I design and implement Multi-Agent and RAG systems using Python, LangChain, LangGraph, and LlamaIndex integrated with vector databases like Supabase and Chroma, exposing agents via FastAPI and LangServe. Independently, I develop a complete control platform in TypeScript, building REST APIs with Node.js and Express, an admin dashboard with React.js and Vite, and an interactive widget with Preact.js.
Previously, I worked as a Full-Stack Developer at Universidad Nacional del Comahue under a PPU scholarship, developing a responsive frontend with React.js and Vite and a modular backend API with NestJS for managing and exposing institutional information.
My technical skills include programming languages such as Python, TypeScript, JavaScript, Java, C, SQL, Rust, Haskell, Prolog, and Smalltalk. I am proficient in backend frameworks like Node.js, Express, FastAPI, and NestJS, and frontend technologies including React.js, Vite, Preact, TailwindCSS, and SCSS. I have experience with databases such as PostgreSQL, MySQL, MariaDB, MongoDB, and vector databases like Supabase and Chroma. Additionally, I am skilled in AI and data technologies including LangChain, LangGraph, LlamaIndex, and architectures like RAG and Multi-Agent. I use infrastructure and tools such as Git, AWS Lambda, Vercel, Hostinger, n8n, Make, Mongoose, and VSCode.
I have completed various courses and certifications including Advanced Backend Development, React JS, JavaScript Programming, and Web Development, focusing on modern responsive design and asynchronous programming. I am also certified in English at an intermediate-high B2 level by Cambridge University and am preparing for the B2 First (FCE) exam.
Intermediate degree obtained: Analista Programador Universitario. GPA: 9. Progress: 79.6%
Intermediate-High (B2) level
Supporting practical classes, exercise resolution, academic follow-up; teaching programming fundamentals and algorithmic structures in Java; collaborating in Static Web Laboratory delivering HTML, CSS, and JavaScript content.
Developing end-to-end AI solutions, evolving prototypes to productive architectures; designing and implementing Multi-Agent and RAG systems with Python, LangChain, LangGraph, LlamaIndex; integrating vector databases Supabase and Chroma; exposing agents via FastAPI and LangServe; independently developing control platform in TypeScript with Node.js, Express, React.js, Vite, and Preact.js.
Developed full-stack web platform for research group G.I.L.I.A; built responsive frontend with React.js and Vite; created modular backend API with NestJS for institutional information management and exposure.
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