Shreyas Chaudhari

Shreyas Chaudhari

PhD Student in Computer Science

University of Massachusetts Amherst

About Me

I am a first-year PhD student in Computer Science at UMass Amherst advised by Bruno Castro da Silva and Phil Thomas at the Autonomous Learning Lab. I work on reinforcement learning, often using tools from deep learning. I have also worked on various related areas like uncertainty quantification, natural language processing and multi-armed bandits, details about which can be found in the Projects section.


  • PhD in Computer Science, Ongoing

    University of Massachusetts Amherst

  • MS in Electrical and Computer Engineering, 2020

    Carnegie Mellon University

  • B.Tech. in Electrical Engineering, Minor: Machine Learning, 2019

    Indian Institute of Technology Madras

Professional Experience


Software Engineering Intern

Uber ATG, Perception/Prediction Team

Jun 2020 – Aug 2020 Pittsburgh
  • Derived loss functions for confidence-calibrated neural network predictions for image classification and object detection
  • Shifted from two-step post-processing calibration methods, benchmarking one-stage object detectors (FAIR’s RetinaNet)
  • Achieved improved calibration scores on image classification along with occasional improvement in model performance [informal report]

Securities Strategist Intern

Goldman Sachs, Franchise Analytics Strategy & Technology Team

May 2018 – Jul 2018 Bengaluru, India
  • Analyzed the trade data for European markets post MiFID II regulation, gauging the monetary value of the dataset
  • Conducted trade volume and market share driven analysis indicating ∼40% increase in market coverage by the data
  • Modeled quoting patterns with GMMs using pre-trade data feed to draw correlations across aggressiveness of quoting

Machine Learning Intern

DeTect Technologies, Machine Learning Team

May 2016 – Jul 2016 Bengaluru, India
  • Developed code for the flagship product GUMPS which detects defects and their growth rate in oil refinery pipelines
  • Implemented idea analyses reflected waveforms of ultrasound waves for defect detection



Off-Dynamics Reinforcement Learning

Research project, CMU

Classical Bandit Algorithms to the Structured Bandit Setting

OPAL lab, Carnegie Mellon University

Energy-Delay-Distortion Problem

Tata Institute of Fundamental Research, Mumbai