karthik pythireddi

Data Scientist

https://talent.gravityer.com/karthik-pythireddi

Learning on the go: Robotics & AI

Nvidia

Key Strengths

Strong academic project background in Robotics, Reinforcement Learning, and Machine Learning, aligning with Data Scientist roles.
Experience with Python, Jupyter Notebook, and Shell scripting, essential for data science workflows.
Exposure to advanced topics like Preference Optimization, RLHF, PPO, and DPO in simulation environments.

Cultural & Operational Fit

Cultural 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.

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Projects

cs224_final_project

April 28, 2026 – Present

This repository has the final project related details for the CS 224R Class.

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academic-page

April 22, 2026 – Present

academic-page — GitHub repository

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cs234_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

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policylearning_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

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cs234-finalproject

February 23, 2026 – Present

CS 234 final project comparing RLHF, DPO, and DPOP for fine-tuning BC policy in Meta-World.

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EE227_Robot_Perception

January 10, 2026 – Present

Final Paper Review on Sim2Real for Robotics

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lerobot_linux

October 29, 2025 – October 30, 2025

This repository has the setup instructions useful for the linux machine.

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CS231N_Final_Project

June 10, 2025 – June 22, 2025

This repository holds the results and the colab notebooks as part of the CS231N Final Project

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karthikpythireddi.github.io

June 9, 2025 – Present

karthikpythireddi.github.io — GitHub repository

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AA274A_Principles_of_Autonomy_I

December 24, 2022 – November 18, 2023

This repository comprises of the AA274A related course submissions.

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Key Strengths

Strong academic project background in Robotics, Reinforcement Learning, and Machine Learning, aligning with Data Scientist roles.
Experience with Python, Jupyter Notebook, and Shell scripting, essential for data science workflows.
Exposure to advanced topics like Preference Optimization, RLHF, PPO, and DPO in simulation environments.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

karthik pythireddi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit