Nikunj Gupta

Data Scientist

https://talent.gravityer.com/nikunj-gupta

CS PhD student at USC

University of Southern California

Key Strengths

Extensive personal project experience in Multi-Agent Reinforcement Learning (MARL) and Deep Reinforcement Learning (DRL).
Demonstrated proficiency in Python for various machine learning and data science applications.
Experience with advanced topics like Text-to-Image Synthesis, Conformal Action Modeling, and Gene Regulatory Network inference.
Current role as a Data Scientist at the University of Southern California, indicating academic and research alignment with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on academic and research-oriented machine learning and reinforcement learning, which aligns well with roles requiring innovation and problem-solving in data science. The diversity of projects, from theoretical MARL to practical image segmentation and bioinformatics, suggests adaptability and a broad interest in data science applications. However, the candidate's experience level is listed as 0, which contradicts the current Data Scientist role, and all projects are personal, which might indicate a lack of industry experience. This could impact cultural fit in a fast-paced, product-driven environment without further clarification.

Soft Skills & Operational Fit

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

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Projects

EvoClaw

January 29, 2026 – Present

A Continuous Task Evaluation Playground for AI Harness

View Project

dmcg-marl

January 11, 2025 – October 9, 2025

DMCG: Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning

View Project

RL-Epidemic-Benchmark

January 30, 2023 – February 11, 2023

RL-Epidemic-Benchmark — GitHub repository

View Project

conformal-agent-modelling

January 23, 2023 – June 24, 2024

CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning

View Project

Gene-Regulatory-Network-inference-in-Autoimmune-Diseases

July 17, 2022 – November 29, 2022

Gene Regulatory Network Inference

View Project

HAMMER

May 10, 2021 – June 24, 2024

HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging (Paper: https://ala2021.vub.ac.be/papers/ALA2021_paper_35.pdf)

View Project

FCMADRL

August 1, 2019 – November 20, 2019

Fully Cooperative Multi-Agent Deep Reinforcement Learning

View Project

Text-to-Image-Synthesis

December 7, 2018 – December 7, 2018

Text-to-Image-Synthesis — GitHub repository

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Brain-Tumor-Segmentation

October 6, 2018 – October 23, 2020

Machine Learning (Academic Course) Project

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Image-Segmentation-Using-Color-and-Texture-Descriptors-with-Expectation-Maximization

December 1, 2017 – June 24, 2017

An algorithm for unsupervised segmentation of an RGB image.

View Project

Key Strengths

Extensive personal project experience in Multi-Agent Reinforcement Learning (MARL) and Deep Reinforcement Learning (DRL).
Demonstrated proficiency in Python for various machine learning and data science applications.
Experience with advanced topics like Text-to-Image Synthesis, Conformal Action Modeling, and Gene Regulatory Network inference.
Current role as a Data Scientist at the University of Southern California, indicating academic and research alignment with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Nikunj Gupta

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit