Computer Engineering graduate passionate about building production-grade AI systems, including RAG pipelines, LLM-powered applications, and multi-agent workflows.

• AI/LLM: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, LangChain
• ML/DL: PyTorch, Fine-Tuning, LoRA (PEFT), Embeddings, Hugging Face Transformers
• Backend: Python, FastAPI, REST APIs, AsyncIO
• Databases: FAISS, Vector Databases
• Infrastructure: Docker, Git, GitHub Actions (CI/CD), Linux

LJ Institute of Engineering & Technology — B.E. Computer Engineering, 2022–2026

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