
Learning on the go: Robotics & AI
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Nvidia
Data Scientist
June 29, 2026 – Present
cs224_final_project
April 28, 2026 – Present
This repository has the final project related details for the CS 224R Class.
View Projectcs234_robocasa
March 17, 2026 – Present
This repo contains all the code relevant to the final project of the CS234 class where we evaluated the Preference Optimization on the Robocasa environment
View Projectpolicylearning_from_trajectory_preferences
February 26, 2026 – Present
This repository has the information on the experiments we ran on the LIBERO simulation environment to train and compare the Baseline policy with the RLHF, PPO and DPO
View Projectcs234-finalproject
February 23, 2026 – Present
CS 234 final project comparing RLHF, DPO, and DPOP for fine-tuning BC policy in Meta-World.
View ProjectEE227_Robot_Perception
January 10, 2026 – Present
Final Paper Review on Sim2Real for Robotics
View Projectlerobot_linux
October 29, 2025 – October 30, 2025
This repository has the setup instructions useful for the linux machine.
View ProjectCS231N_Final_Project
June 10, 2025 – June 22, 2025
This repository holds the results and the colab notebooks as part of the CS231N Final Project
View Projectkarthikpythireddi.github.io
June 9, 2025 – Present
karthikpythireddi.github.io — GitHub repository
View ProjectAA274A_Principles_of_Autonomy_I
December 24, 2022 – November 18, 2023
This repository comprises of the AA274A related course submissions.
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and research-focused, indicating a strong inclination towards theoretical and experimental work. The current role at Nvidia as a Data Scientist suggests alignment with industry, but the start date is in the future (2026), making it difficult to assess current practical experience. The project diversity is good within the academic ML/RL domain, but broader industry application experience is not evident from the provided data.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.