About me

I am an AI Engineer building production-grade intelligent systems at the intersection of machine learning and software engineering. Currently interning at eInfochips – An Arrow Company, where I execute parameter-efficient LLM fine-tuning using QLoRA and LoRA with FP16/BF16 mixed-precision training, and implement transformer architecture internals — attention mechanisms, tokenization pipelines, and model evaluation metrics — in a real semiconductor AI environment.

Previously at Navneet Education Limited, I engineered a Speech-to-Text voice logging system on GCP that eliminated manual warehouse data entry, built an automated invoice OCR pipeline using GCP Vision API for structured billing data extraction, and developed an internal RAG chatbot via Vertex AI Search and Discovery Engine API — enabling natural-language querying over proprietary product catalogs.

My core technical stack spans Python, PyTorch, scikit-learn, Django, FastAPI, and Google Cloud Platform (Speech-to-Text, Vision API, Vertex AI). I hold a certification as an Oracle Cloud Infrastructure AI Foundations Associate and maintain a CGPA of 9.4 in B.E. Information Technology at Lok Jagruti University.

I architect AI systems end-to-end — from data ingestion and model fine-tuning through REST API integration and full-stack deployment — with deep focus on MLOps, NLP, anomaly detection, and Retrieval-Augmented Generation (RAG).