CV

Education

  • 2021- Present
    PhD in Computer Science
    Northeastern University, USA
  • 2017-2020
    M.Tech Research in Computer Science
    Indian Institute of Science, India

Work Experience

  • Sep 20 - Apr 21
    Data Scientist
    Myntra, India
    • Building user affinities for personalized recommender systems
  • MAY 20 - Jul 20
    Research Intern
    IBM Research, India
    • Efficient training of private Deep Learning (DL) models
  • Jan 20 - Apr 20
    Research Intern
    Walmart Labs, India
    • Data poisoning attacks against differentially private recommender systems
  • MAY 18 - JUL 18
    Research Intern
    Bar-Ilan University, Israel
    • Implementing efficient MPC primitives and protocols.

Research Talks

  • Nov 20
    Greenwoods - A Practical Random Forest Framework for Private Training and Prediction
    NeurIPS Workshop
  • JUL 20
    FLASH - Fast and Robust Framework for Privacy-preserving Machine Learning
    Privacy Enhancing Technologies Symposium (PETS)
  • JAN 20
    Privacy Preserving Machine Learning via Multi-party Computation
    Walmart Labs
  • NOV 19
    ASTRA - High Throughput 3PC over Rings with Application to Secure Prediction
    ACM Conference on Cloud Computing Security Workshop (ACM CCSW)

Honors and Awards

  • 2022
    • Selected as one among 200 young researchers to participate in the 9th Heidelberg Laureate Forum.
  • 2019-20
    • Received Travel Grants for ACM CCS'19 and USENIX Security'20.
  • 2017
    • MHRD Scholarship for 2.5 years to finance my thesis.
    • Secured All India Rank 242 in GATE CS with 99.75 percentile.