Summary
Tajamul Ashraf is a research manager and applied ML scientist with around five years of experience building agentic, multimodal systems at the intersection of computer vision, medical AI, and real-world deployment. Currently at NTU Singapore collaborating with INTERPOL, he designs privacy-preserving pipelines for sensitive video and clinical decision-support applications, having previously contributed to medical RAG systems and multimodal reasoning at MBZUAI and KAUST. His MS(Research) from IIT Delhi focused on domain adaptation for mammogram-based breast cancer detection, grounding his research in practical clinical challenges. Beyond academia, he co-founded a social impact society in Kashmir and co-hosted a tech podcast, signaling a blend of technical depth, community engagement, and communication skills. Colleagues know him for turning complex research into deployable agents and for a self-aware humility captured in his remark, "very few people know how little they know; I am one of those few."
5 years of coding experience
1 year of employment as a software developer
12, PCBM, 12, PCBM at Tyndale Biscoe and Mallinson School
MS (Research), Computer Science, MS (Research), Computer Science at Indian Institute of Technology Delhi
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at National Institute of Technology Srinagar
English, Urdu, Kashmiri, Arabic