Shubham Bari

Data Scientist

https://talent.gravityer.com/shubham-bari

AI ML Development DSA Data Science Financial Mathematics and everything in between

Mumbai, Maharashtra, India

Key Strengths

Demonstrated interest in various machine learning domains including federated learning, reinforcement learning, and vision transformers.
Experience with Python and Jupyter Notebooks, which are core tools for Data Scientists.
Projects indicate an ability to implement complex algorithms from scratch (e.g., federated learning, gradient inversion attack).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards research and implementation in advanced AI/ML topics. The diversity of personal projects suggests a self-driven individual with a passion for exploring new technologies. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.

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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Projects

Base-12-exps

May 20, 2026 – Present

Base-12-exps — GitHub repository

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TRM-Re-Implementation

May 18, 2026 – Present

This repo aims to reimplement TRMs by Samsung, at a very basic level, being able to train the model to play sudoku and benchmark it compared other other frontier models of the similar size

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Voice-based-ai-assistant-

April 19, 2026 – Present

Simple implementation of voice based ai assistant with TTS, made using langchain and groq for llm provider

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TinyAya_MapHallu

March 12, 2026 – Present

Mapping Hallucinations in Tiny Aya

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ViT

February 19, 2026 – Present

Naive implementation of Vision Transformer using Custom attention mechanism to compare accuracy against one another

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SafeYatra

February 15, 2026 – Present

Udbhav Inter IIIT Project

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Reinforcement-Learning

February 3, 2026 – Present

Notebooks containing python implementation of simple and complex RL problems ranging from Temporal Difference problems to GRPO and other policy gradient optimizations

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Gradient-Inversion-Attack

December 12, 2025 – Present

Implementing gradient inversion attack, an algorithm used in distributed machine learning to recover private data from model gradients

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Fed-Learning-From-Scratch

December 12, 2025 – December 12, 2025

Here is my implementation of federated learning, also called distributed machine learning, where multiple clients can train individual models on private data and then the weights will be aggregated in the end to make a model which can perform well on cumulative datasets.

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ML-Based-Volatility-Arbitrage-stratergy

August 19, 2025 – August 19, 2025

This repo contains models and notebooks that work on historic SPY data and use a simple IV-RV arbitrage strategy as well as ML enhanced regime detection strategy to trade SPY option chain

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Key Strengths

Demonstrated interest in various machine learning domains including federated learning, reinforcement learning, and vision transformers.
Experience with Python and Jupyter Notebooks, which are core tools for Data Scientists.
Projects indicate an ability to implement complex algorithms from scratch (e.g., federated learning, gradient inversion attack).

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.

Shubham Bari

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit