Gopeshh Subbaraj

Data Scientist

https://talent.gravityer.com/gopeshh-subbaraj

Robotics Engineer, interested in Machine learning and Reinforcement learning.

Natick, Massachusetts

Key Strengths

Extensive personal project experience in Reinforcement Learning, Robotics, and Machine Learning, aligning well with a Data Scientist role.
Demonstrated proficiency in Python, C++, and various ML/AI frameworks through project work.
Experience with simulation environments (ROS, Gazebo) and advanced algorithms (Kalman filter, GFNs, GAIL, AIRL).

Cultural & Operational Fit

Cultural 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.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

trm_bellman

November 5, 2025 – Present

trm_bellman — GitHub repository

View Project

AGFN

May 25, 2025 – May 26, 2025

Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation

View Project

realtime_rl

December 17, 2024 – June 12, 2025

Code for Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference

View Project

MA-GAIL-AIRL-pytorch

October 3, 2024 – May 4, 2025

An implementation of CAREL framework on Babyai and Semantic HELM.

View Project

dqn_test

November 7, 2022 – November 11, 2022

dqn_test — GitHub repository

View Project

INF8250e-assignments-public

September 23, 2022 – November 12, 2022

INF8250e-assignments-public — GitHub repository

View Project

AIME

August 1, 2021 – Present

AIME — GitHub repository

View Project

Clique-Clustering

October 29, 2019 – October 29, 2019

Prototyped the clique clustering algortihm for high dimensional data in MATLAB

View Project

Motion-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 Project

Trajectory_Control

February 24, 2017 – April 25, 2017

Trajectory Control for Differential Drive Mobile Manipulators

View Project

Key Strengths

Extensive personal project experience in Reinforcement Learning, Robotics, and Machine Learning, aligning well with a Data Scientist role.
Demonstrated proficiency in Python, C++, and various ML/AI frameworks through project work.
Experience with simulation environments (ROS, Gazebo) and advanced algorithms (Kalman filter, GFNs, GAIL, AIRL).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Gopeshh Subbaraj

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit