Summary
Himanshu Goel is an AI Research Engineer based in Delhi with 12 years of experience building production-grade ML and LLM systems across finance, healthcare, and document automation. He has delivered measurable impact—boosting retrieval and compliance accuracy in regulated environments, cutting OCR costs and manual corrections, and deploying GenAI chatbots that slashed support resolution time. Comfortable across low-level languages and GPU-focused stacks (C/C++, CUDA, OpenCL/OpenGL) as well as modern LLM pipelines, he blends systems-level engineering with applied research in RAG, reranking, and semantic fingerprinting. Notably, he designed cost-saving embedding deduplication and token-budget-aware retrieval approaches that preserved traceability for audits. With an NYU master’s in computer engineering and a track record of moving models from prototype to SLA-driven production, he excels at turning research into auditable, high-impact systems.
12 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at New York University
French