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VLA Eval, ROS, Reinforcement learning C++, Python, Algorithms,
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Agentic_Robot_Hackathon
May 29, 2025 – May 29, 2025
Agentic_Robot_Hackathon — GitHub repository
View ProjectTrajectory_tracking_controllers_UR5
October 28, 2019 – October 28, 2019
This repository contains the code for trajectory tracking controllers for UR5 robot compared with benchmark trajectory dataset.
View ProjectFriction_finger_gripper_RL
October 8, 2019 – September 28, 2020
This repository contains the testing files for the RL implementation of planning motion using friction finger gripper.
View ProjectVariable_friction_finger
July 24, 2019 – August 14, 2019
Variable_friction_finger — GitHub repository
View ProjectRobot_controllers
April 20, 2019 – April 20, 2019
This repository contains the Matlab implementation of various controllers such as Inverse Dynamics, Robust , Adaptive and Passivity based controllers.
View ProjectRobot_trajectory_tracking
April 12, 2019 – April 17, 2019
Robot_trajectory_tracking — GitHub repository
View ProjectGokulnarayanan_sathyanarayanan_intern
March 4, 2019 – March 8, 2019
Multi agent path planning
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on robotics and control systems, which may indicate a strong interest in specific technical domains. While there's a project related to RL, the overall portfolio leans more towards engineering/robotics than pure data science. This might require assessing their adaptability and interest in broader data science applications. The lack of team projects or collaborative descriptions makes it difficult to assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.