Media Kit

Avishek Rauniyar is an AI/ML Engineer and Healthcare AI Researcher. He is a Research Associate — Medical AI at Harvard Medical School & Dana-Farber Cancer Institute, and an Elite AI Research Assistant at Amrita AI (Faridabad). He works on agentic AI systems, healthcare ML, and knowledge graph applications. He has four publications in venues including Procedia Computer Science (Elsevier) and Springer conference proceedings. A NASA Space Apps Challenge Local Impact Award winner, he holds a B.Tech in Computer Science (AI) from Amrita Vishwa Vidyapeetham with a CGPA of 9.18/10. He is from Barahakshetra, Nepal.

Avishek Rauniyar is an AI/ML Engineer and Healthcare AI Researcher working on agentic AI systems, healthcare ML, and knowledge graph applications. He is a Research Associate — Medical AI at Harvard Medical School & Dana-Farber Cancer Institute and an Elite AI Research Assistant at Amrita AI (Faridabad). His research spans multi-agent architectures, retrieval-augmented generation, and clinical NLP. He has published four papers: a prostate cancer stratification framework in Procedia Computer Science (Elsevier, 2025), conference papers on AI-driven wildlife monitoring and electronic voting systems at ICTCS (Springer), and a book chapter on ML algorithm comparison (Springer, 2024). Avishek is a NASA Space Apps Challenge Local Impact Award Winner. He contributes to open-source projects and writes about AI engineering practices. He holds a B.Tech in Computer Science (AI) with a CGPA of 9.18/10 from Amrita Vishwa Vidyapeetham, Amritapuri.

Avishek Rauniyar is an AI/ML Engineer and Healthcare AI Researcher building systems at the intersection of agentic AI, healthcare ML, and knowledge graphs. He is a Research Associate — Medical AI at Harvard Medical School & Dana-Farber Cancer Institute and an Elite AI Research Assistant at Amrita AI (Faridabad). His research portfolio includes four publications. His prostate cancer stratification work appeared in Procedia Computer Science (Elsevier, 2025, Vol. 259, pp. 356–365). At ICTCS (Springer), he co-authored papers on AI-driven wildlife monitoring (ECO-Guard, 4 citations) and a secure electronic voting system. His book chapter on ML algorithm comparison was published by Springer (2024). His technical work focuses on building systems where correctness matters — multi-agent coordination, RAG pipelines for clinical settings, and knowledge graph construction where extraction precision directly impacts downstream reasoning. Avishek is a NASA Space Apps Challenge Local Impact Award Winner (2024). He contributes to open-source AI projects and writes about engineering practices and lessons from production. He holds a B.Tech in Computer Science (AI) with a CGPA of 9.18/10 from Amrita Vishwa Vidyapeetham, Amritapuri. Originally from Barahakshetra, Nepal.