Anurag Kumar
@anuragkumar9
I build evaluated GenAI, RAG, and machine-learning systems for public-sector health programs.
What I'm looking for
I've built Generative AI and machine-learning systems for health and government programs at Tattva Foundation, including maternal-risk prediction for UNICEF and NHM-UP, RAG workflows for frontline health workers, and analytics for PMJAY.
I built the full ASHA chatbot pipeline across ingestion, hybrid ChromaDB and FAISS retrieval, generation, and prompt tuning to reduce hallucinations. For MANTRA, I validated ensemble models on large-scale delivery records, addressed severe class imbalance, and presented findings to UNICEF and state health authorities to support high-risk pregnancy referrals.
I've also standardized government datasets and built LLM-based geographical data-mapping tools for Meghalaya's ECD Mission, supporting dashboards for more than 6,000 Anganwadi centers. As a data and MIS consultant on NAPCC 2.0, I advised nine national climate missions on monitoring, indicator frameworks, and governance-reporting dashboards.
Earlier, I fine-tuned LLMs, built YOLO and OCR systems, and developed Python automation tools for production workflows. I bring an M.Tech in Computer Science from IIIT Guwahati and work across data, modeling, evaluation, and deployment.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer, R&D
Tattva Foundation
May 2025 - Jun 2026 (1 year 1 month)
Built and validated ensemble models for early detection of critical maternal cases, developed RAG chatbot workflows for frontline health workers, and provided data and MIS consulting for national climate missions.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Information Technology, Guwahati
Master of Technology, Computer Science and Engineering
2023 - 2025
Grade: 8.43 CGPA
Pursued M.Tech in Computer Science and Engineering with a CGPA of 8.43.
Punjab Technical University
Bachelor of Technology, Computer Science and Engineering
2019 - 2023
Grade: 8.04 CGPA
Completed B.Tech in Computer Science and Engineering with a CGPA of 8.04.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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