Summary
Digvijay Yadav is a Senior Data Analyst and AI engineer with six years of experience building production-grade ML and GenAI systems across healthcare, manufacturing, and enterprise domains. With a Master’s in Health Data Science from Dartmouth and hands-on roles from founding ML teams to leading GenAI initiatives, he excels at end-to-end pipelines—data strategy, model training and fine-tuning, deployment, and monitoring—with a strong focus on reliability and business impact. He has delivered measurable gains such as 40% biomarker detection improvements, 58% faster training via mixed-precision, and cost savings from semi-supervised labeling that reduced annotation spend. Skilled in agentic AI, LLM fine-tuning, RAG architectures, and computer vision (detection, segmentation, GANs), he routinely productionizes models using Docker, FastAPI, Airflow, Azure, GCP, and Vertex AI. Notably, he has improved real-time LLM responsiveness by implementing streaming inference on AWS Bedrock and implemented custom multi-agent systems to orchestrate retrieval, planning, validation, and tool execution for enterprise workflows. Based in New Delhi, he combines biomedical domain insight with practical MLOps to move research innovations into scalable, revenue-driving products.
6 years of coding experience
4 years of employment as a software developer
Semester Exchange Program, Artificial Intelligence, Semester Exchange Program, Artificial Intelligence at Yuan-Ze University
Master's degree, Health Data Science, Master's degree, Health Data Science at Dartmouth College
Bachelor of Technology - BTech, Biomedical/Medical Engineering, Bachelor of Technology - BTech, Biomedical/Medical Engineering at Vellore Institute of Technology
English, French, Hindi