GenAI-focused engineer
GenAI-focused engineer with hands-on expertise in RAG pipelines, LangChain, Qdrant, Google Gemini, and Llama 70B, currently pursuing a B.Tech in Artificial Intelligence. Combines strong algorithmic foundations with full-stack execution to deliver context-aware, production-grade AI applications.
Bachelor of Technology, Artificial Intelligence
2024 - 2028
Grade: 7.65/10.0
Intermediate (Class XII)
2023 - 2024
Grade: 75.6%
Matriculation (Class X)
2021 - 2022
Grade: 88.0%
A scrollytelling web application using advanced LLMs and procedural algorithms for end-to-end music production, lyrics generation, and mastering. Features procedural beat and instrumental stem generation, Groq LLM lyrics generation, in-browser vocal recording with AI Vocoder, and an interactive Three.js dashboard. Technologies include Next.js, Groq API, Three.js, Web Audio API, Tailwind, and Neon Postgres.
A full-stack gaming companion application using LLMs for personalized e-sports coaching and telemetry analysis. Includes a gamified Three.js and Framer Motion dashboard, Google Gemini-powered training checklists and weakness reports, Supabase and PostgreSQL data management, and a Node.js backend with rate-limit handling and fallback mechanisms.
An interactive 3D cyberpunk-themed portfolio showcasing generative AI pipelines, modern web development, and immersive UI/UX design. Features a cursor-tracking FBX robot model, glassmorphism styling, Framer Motion animations, responsive layouts, and a Next.js 14 App Router implementation optimized for Vercel.