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I'm a final-year BCA student building toward GenAI / LLM Application Engineering. I learn by building β working hands-on with LLM APIs (Gemini, Claude, Groq), Python fundamentals, and shipping small end-to-end AI-powered apps rather than just following tutorials.
Currently working through a structured 30-day GenAI learning plan and building toward larger projects: a RAG engine, a multi-agent system, and an LLM gateway with guardrails.
Looking for: internship or entry-level opportunities in GenAI/LLM application engineering.
Anime episode tracker with LLM-powered recommendations
A full-stack Flask app that solves a real personal problem β losing track of what episode you're on. Add shows, bump episode counts, and get AI-generated "what to watch next" recommendations from Groq (gpt-oss-120b) based on your watchlist.
Python Flask Groq API LLM Integration Vanilla JS
AI / LLM
Tech Stack
Open to internships and entry-level opportunities in GenAI/LLM application engineering. Reach out via LinkedIn or email.


