Himanshu Goel is an AI Research Engineer and Data Scientist with nearly six years of experience designing, building, and deploying AI/ML and data science solutions across finance and healthcare domains. He holds a Master’s degree in Computer Science and has worked extensively on applied machine learning, Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems.

His work spans the full AI lifecycle—from data analysis, statistical modeling, and feature engineering to building production-grade ML and GenAI systems using Python, TensorFlow, LangChain, and cloud platforms such as AWS and Azure. He has contributed to document intelligence, semantic search, predictive modeling, and enterprise AI deployments, working closely with cross-functional stakeholders to translate complex problems into scalable solutions.

Currently based in the United States, Himanshu is relocating to India and is seeking impactful roles in Data Science, Machine Learning Engineering, or Generative AI, where he can leverage his global experience, strong technical foundation, and continuous learning mindset to build high-impact AI systems.