
Robotics Engineer, interested in Machine learning and Reinforcement learning.
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AGFN
May 25, 2025 – May 26, 2025
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
View Projectrealtime_rl
December 17, 2024 – June 12, 2025
Code for Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
View ProjectMA-GAIL-AIRL-pytorch
October 3, 2024 – May 4, 2025
An implementation of CAREL framework on Babyai and Semantic HELM.
View ProjectINF8250e-assignments-public
September 23, 2022 – November 12, 2022
INF8250e-assignments-public — GitHub repository
View ProjectClique-Clustering
October 29, 2019 – October 29, 2019
Prototyped the clique clustering algortihm for high dimensional data in MATLAB
View ProjectMotion-Compensation-of-DaVincI-Robot
October 29, 2019 – October 29, 2019
Simulated the DaVinci surgical robot to compensate for the motion of constantly moving organs like heart while performing surgery. Used Kalman filter to predict the motion of the heart and the PSM of the DaVinci robot compensated for this varying motion of the organs in any configuration. Simulation is done using ROS and Gazebo.
View ProjectTrajectory_Control
February 24, 2017 – April 25, 2017
Trajectory Control for Differential Drive Mobile Manipulators
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in research-oriented and complex problem-solving domains within AI/ML, which suggests a good fit for an innovative and technically challenging environment. The diversity of projects (RL, robotics, molecular graph generation) shows a broad intellectual curiosity. However, without team-based project experience or work history, assessing collaboration and team fit is difficult.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.