Prahaladh Chandrahasan

Hi there! I am Prahaladh Chandrahasan, a graduate student at Carnegie Mellon University . I am pursuing my Master's in Information Technology—Privacy Engineering.

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News

  • [Jan,2025] Started as a Graduate Research assistant in building a RAG evaluation framework as a collaboration between CMU LTI and Amazon AGI.

  • [Jan,2025] Started my independent study in Privacy threat modelling under prof Norman Sadeh, Lorrie Cranor and Hana Habib. (Framework Website)

  • [Sept,2024] Began my master's in Privacy Engineering from CMU. (Linkedin Post)

  • [Sept,2023] Received the Arpit Jain Best Researcher Scholarship for our FL paper.(Website)

  • [Aug,2023] Filed the my first patent through Bank Of America. (Linkedin Post)

  • [Sept,2022] Joined Bank of America as Software Engineer in their APAC Payments team.

  • [Jul,2022] Published the Paper "Federated Learning for Colorectal Cancer Prediction." ( IEEE Link)

  • [Jan,2022] Published the paper "Motion Pattern-based Crowd Scene Classification Using Histogram of Angular Deviations of Trajectories." (Journal Link)

  • [Jan,2022] Joined RedHat as Software Engineer intern in their middleware engineering division.

  • [Oct,2021] Joined a stealth startup as Federated Learning Engineer intern.

  • [Mar,2021] Joined Cloudanix (YC,21) as a Software Engineer intern. (Cloudanix)

  • [Nov,2020] 2nd Place (National) in BRICS Future Skills Aerial Robotics competition, organised by WorldSkills Russia and the Moscow Regional Coordination Centre.

  • [Jun,2019 - Dec 2020] Won various aeromodelling and Drone racing competitions as a part of AeroMIT.

  • [Jun, 2019] Joined the Advanced Drone Research (now Autonomous Drone Research Subsystem) Subsystem in AeroMIT. (AeroMIT)

Research

Publications

[1]Yash Maurya, Prahaladh Chandrahasan, and Poornalatha G, “Federated Learning for Colorectal Cancer Prediction,” 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), vol. abs 2110 9910, pp. 1–5, Oct. 2022, doi: https://doi.org/10.1109/gcat55367.2022.9972224. (Link) ‌

[2]A. K. Pai, Prahaladh Chandrahasan, U. Raghavendra, and A. K. Karunakar, “Motion pattern-based crowd scene classification using histogram of angular deviations of trajectories,” The Visual Computer, vol. 39, no. 2, pp. 557–567, Jan. 2022, doi: https://doi.org/10.1007/s00371-021-02356-3. (Link) ‌

Projects

  • Membership Inference attacks on CIFAR 10 using the CIFAKE datset.( Github) ‌

    Blog

    Checkout my Medium page to read some of my thoughts on technology and my experiences.

    Miscellaneous

    Made Deepseekv3 tell me how to make Cocaine!


    Thanks to Jon Barron for this template.

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