About
GenAI Engineer building production-grade AI systems: multi-agent orchestration, agentic RAG pipelines with hybrid retrieval and cross-encoder reranking, LLM guardrails, and fine-tuned LLMs. Strong emphasis on scalable backends, evaluation frameworks, and real-world deployment using FastAPI, Redis, Docker, and modern LLM tooling.
Experience1
GenAI Engineering Intern
May 2026 — Jul 2026Misfits Communications and Digital Services Pvt. Ltd. · Internship · Delhi, India
Built a Retrieval-Augmented Generation (RAG) platform for secure enterprise document search, covering document ingestion, hybrid retrieval, and grounded LLM question-answering. Implemented hybrid retrieval combining dense embedding search with BM25 and added a cross-encoder reranking stage to improve retrieval precision. Integrated Redis to cache frequent query results, reducing response latency for repeat queries.
- Improved retrieval precision over single-strategy baselines.
- Reduced response latency for repeat queries.
Projects3
MoreAI – Multi-Agent SDLC Automation Platform
Enterprise multi-agent software development platform automating planning, coding, review, and testing with governed, auditable agent handoffs.
- LangGraph
- FastAPI
- ChromaDB
- Docker
- AWS
NexusMind – Agentic RAG System
Agentic RAG system for secure enterprise document querying using hybrid retrieval and grounded LLM generation.
- Python
- FastAPI
- Qdrant
- Ollama
- Docker
ForgeGuard – LLM Fine-Tuning & Deployment System
End-to-end LLM fine-tuning and evaluation platform reducing hallucination rate through calibration-aware iterative retraining.
- PyTorch
- QLoRA
- FastAPI
- HuggingFace
Education3
B.Tech
2023 — 2027Amity University
Artificial Intelligence
Senior Secondary
2021 — 2022Jawahar Navodaya Vidyalaya
Secondary School
2015 — 2020Jawahar Navodaya Vidyalaya