Professional Overview
As an IIT alumnus and former Qualcomm AI Engineer with over 4 years of experience, I specialize in bridging the gap between cutting-edge research and production-grade software. I focus on architecting autonomous AI Agents and high-precision RAG pipelines, with a deep specialization in LLM observability and evaluation utilizing LangChain, Langfuse,
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Engineered fuzzy paragraph retrieval + LLM prompting for 98% PDF recall.
- Engineered scalable data pipelines on Azure Container Apps and App Services.
- Designed a React, Node.js, and FastAPI microservice stack for AI processing.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Implemented RAG for Qualcomm Neural Processing SDK (82% Recall@K)
- Automated eval triggering; achieved 95% LLM-as-a-judge accuracy.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
