Eyuvaraj D — AI & Backend Engineer
I build practical AI products and reliable backend systems with Python, FastAPI, retrieval-augmented generation, and cloud infrastructure.
About
I work across APIs, data, and generative AI to take products from design to deployment. My experience includes AI itinerary planning, RAG advisors, automation tools, and cloud-native services.
Experience
- Founding Engineer, Aneeras LLP (Apr 2026–present): Building TripKnot's AI itinerary engine, ranking service, and FastAPI backend for its mobile travel app.
- AI-ML Engineer, Yuvabe (Jul 2024–Aug 2025): Built RAG advisory systems, agent workflows, and cloud AI services.
- AI-ML Intern, Yuvabe (Jan–Jun 2024): Developed containerized ML services and data pipelines.
Selected projects
- TripKnot: Social AI travel planning app for iOS and Android. Visit TripKnot
- goboxd: Sandboxed Go service for executing code in 15 languages. View source
- Paradox 2024: First-place IIT Madras GenAI Hackathon RAG chatbot. View source
- QuizMaster: Flask and Vue quiz platform with scheduled jobs. View source
- Meloverse: Flask music streaming app with creator profiles and playlists. View source
Skills and education
Python, Go, FastAPI, Flask, LangChain, RAG, Docker, GCP Cloud Run, MongoDB, PostgreSQL, React Native, and Vue. B.Tech in Information Technology from Puducherry Technological University; programming and data science studies at IIT Madras.