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General Information

Full Name Omkar Nitsure
Languages English, German, Hindi, Marathi

Education

  • 2025 - 2027
    Masters of Science
    ETH Zürich
    • Computer Science,
    • Major in Machine Intelligence, Minor in Information Security
    • Research advisors. Cynthia Chen, Lukas Fluri, Prof. Anastasia Koloskova
  • 2021 - 2025
    Bachelors of Technology
    Indian Institute of Technology Bombay
    • Electrical Engineering,
    • With Honors.
    • Minor in Artificial Intelligence and Data Science
    • Research advisors. Prof. Preethi Jyothi, Prof. Satish Mulleti, Prof. Amit Sethi

Experience

  • 2026 - Present
    Semester Research Project
    LAS Lab, ETH Zürich
    • Advisor. Cynthia Chen and Lukas Fluri
    • Project. Mechanistic Interpretability of Emergent Misalignmen in LLM post-training
  • 2025 - 2026
    Graduate Research Assistant
    DM3L Lab, Universität Zürich
    • Advisor. Prof. Anastasia Koloskova
    • Project. Certified Machine Unlearning using Differential Privacy
  • 2025
    Software Engineering Intern (ML)
    Kipling Secure
    • Advisor. Sachin Bansal
    • Project. MCP server and Agentic pipeline for LLM-based analytics
  • 2024 - 2025
    Undergraduate Student Researcher
    CSALT Lab, IIT Bombay
    • Advisor. Prof. Preethi Jyothi
    • Project. Improving Robustness of Automatic Speech Recognition Systems for accented speech
  • 2024 - 2025
    Undergraduate Student Researcher
    VIP Lab, IIT Bombay
    • Advisor. Prof. Satish Mulleti
    • Project. Reconstruction of sparse FRI signals through Sub-Nyquist Sampling
  • 2024
    Undergraduate Student Researcher
    MeDAL Lab, IIT Bombay
    • Advisor. Prof. Amit Sethi
    • Project. Uncerainty Quantification of Medical Images and Benchmarking of UQ methods
  • 2024
    Signal Processing Intern
    Texas Instruments, Bengaluru, India
    • Advisor. Jawaharlal Tangudu
    • Project. Characterizing and Correcting for non-linearities in 5G Power Amplifiers

Research Interests

  • Machine Learning
    • AI Safey
    • LLM Alignment and Interpretability
    • Natural Language Processing
    • Machine Unlearning
    • Trustworthy AI
    • Differential Privacy
    • Automatic Speech Recognition
  • Signal Processing
    • Sub-Nyquist Sampling
    • High Resolution Spectral Estimation
    • Radar Signal Processing
    • Compressive Sensing