Shresth verma
Graduate Researcher
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolShresth Verma is a PhD student at Harvard's Teamcore group specializing in bandits, reinforcement learning, and multi-agent systems with applied work in public health and conservation. He combines rigorous research—published at AAAI, IJCAI, and AAMAS—with industry experience at Google Research India and UnitedHealth Group building bandit models and large-scale health risk and MLOps pipelines for millions of beneficiaries. He has hands-on expertise in computer vision, OCR, autonomous systems and simulation-driven RL, and has contributed to scientific Python projects like SunPy and Astropy, improving time-series analysis and testing infrastructure. Shresth has coordinated field randomized controlled trials to evaluate AI interventions and led cross-disciplinary teams to operationalize fairness at The Alan Turing Institute. Beyond academia and industry, he builds tools (JupyterProbe), deployable RL integrations, and indie games, reflecting a practical, product-minded approach to research. Based in Cambridge, he’s also an avid wanderer and birder who brings observational curiosity to modeling complex real-world behaviors.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Harvard UniversityMaster of Technology - MTech, Information Technology, 8.53, Master of Technology - MTech, Information Technology, 8.53 at ABV-Indian Institute of Information Technology and ManagementHigh School, Science, 92.3%, High School, Science, 92.3% at Delhi Public School Faridabad
English, Hindi, Spanish, Sanskrit, French
Github Skills (17)
data-visualizations10
pytest10
py10
python10
matplotlib10
testing10
pandas10
time-series10
data-visualisation10
numpy10
astropy10
solar10
sun10
data-visualization10
data-analysis10
Programming languages (5)
Github contributions (5)
sunpy/sunpy
Jan 2018 - Apr 2018
SunPy - Python for Solar Physics
Role in this project:
Data Scientist
Data ScientistContributions:9 commits, 3 PRs, 45 comments in 2 months
Contributions summary:Shresth primarily contributed to examples within the SunPy repository, focused on time series analysis and visualization. Their work involved implementing a peak-finding algorithm and demonstrating the use of convolution filters for smoothing data. The contributions enhanced the existing examples and provided further functionality for analyzing solar physics data.
physicspythonsolarsimulationpython-3
astropy/astropy
Dec 2017 - Mar 2018
Astronomy and astrophysics core library
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:9 commits, 3 PRs, 24 comments in 2 months
Contributions summary:Shresth primarily focused on improving the testing infrastructure for the `astropy/astropy` repository. Their contributions involved adding and modifying tests, specifically for the `Angle.__str__()` and `Time` methods, including testing the `LOCAL` time scale. They also made changes to the testing setup for local time scales and ensured that time-related functions are tested across different time scales. The user’s work ensures the reliability and correctness of core astronomical time and angle calculations.
astrologypythonscienceastrophysicsastrodynamics
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