Prabhpreet Singh Setia

Senior Year, Computer Science and Mathematics @ Ashoka University

Agra, Uttar Pradesh, India

About

I am a final year undergraduate student and I work on AI systems deployed in rigorous domains where reliability, generalization, and computational constraints matter as much as accuracy. My experience spans healthcare AI and safety-critical vision systems. I’m particularly interested in problems where models interact with messy reality: distribution shift, limited data, latency constraints, and real users. Technically, I work across deep learning, classical ML, and statistical modelling. I build end-to-end pipelines in Python, with reproducible training and deployment using Docker.

Experience

  • Researcher at Truth Audit Labs
    Jun 2026 - Present · 2 mos

  • Undergraduate Researcher (Machine Learning & AI Safety) at Ashoka University
    Aug 2025 - Jul 2026 · 1 yr

    Conducting undergraduate thesis research on robust vision models for safety-critical applications, motivated by deployment in high-stakes domains such as autonomous systems and medical imaging.

  • Teaching Assistant - Biomedical Data Science Program at Yale School of Public Health
    Aug 2025 - Sep 2025 · 2 mos

    Teaching Assistant for the Biomedical Data Science Summer Program, jointly run by Yale School of Public Health and the Koita Centre for Digital Health (Ashoka University)

  • Research Internship at Mphasis AI & Applied Tech Lab at Ashoka
    Jun 2025 - Sep 2025 · 4 mos

    Developed and evaluated machine learning models for biological network analysis, focusing on prediction and generalization across heterogeneous mitochondrial datasets for early stage cancer prediction.

  • Editor In Chief at The Uncut Team
    Aug 2020 - Jan 2023 · 2 yrs 6 mos

    Co-founded and led a registered multimedia organization, managing 150+ contributors across editorial, design, public relations, and operations. Work and initiatives featured by BBC, Al Jazeera, The Indian Express, and NDTV publications.