Senior Data Scientist & AI Researcher

Specializing in AI/ML, design optimization, and building intelligent systems. Currently leading AI initiatives at Fidelity Investments.

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About Me

Sidhant Thole

I'm a passionate data scientist and researcher with expertise in machine learning, deep learning, and optimization techniques. I completed my M.S. (Engineering Design) by Research from IIT Madras, where I was part of the ADOPT group focusing on Advanced Design Optimization and Probabilistic Techniques.

My research focused on developing interpretable multidimensional visualization techniques using Self-Organizing Maps, enabling designers to make informed decisions with limited computational budgets.

Skills & Technologies

Python PyTorch TensorFlow SQL MATLAB R Machine Learning Deep Learning NLP Computer Vision

Featured Projects

CoexistAI

Featured

CoexistAI is a modular, developer-friendly research assistant framework that enables you to build, search, summarize, and automate research workflows using LLMs. Features include web exploration, Reddit integration, YouTube transcript analysis, GitHub code exploration, map generation, text-to-podcast conversion, and full MCP support for seamless integration with AI agents.

Python PyTorch NLP MLOps

Design Space Exploration & Optimization using SOM

Research

Published in Structural and Multidisciplinary Optimization (Springer, IF: 3.37). Developed modified SOM algorithm for interpretable design space visualization enabling efficient identification of regions of interest.

Python MATLAB Optimization
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Identifying Robust Design Spaces using SOM

Conference

Presented at 13th World Congress of Structural and Multidisciplinary Optimization, Beijing, China. Novel approach to identifying robust design regions using self-organizing maps.

Python Metamodeling Visualization
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Image Captioning with Attention

Deep Learning

"Show, Attend and Tell" implementation using ResNet and LSTM with attention mechanism on Flickr 8K dataset for automatic image caption generation.

PyTorch Computer Vision LSTM
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Named Entity Recognition with BERT

NLP

Fine-tuned BERT model for Named Entity Recognition tasks, implemented with PyTorch Lightning and optimized for TPU training.

PyTorch BERT NLP
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More Projects

Explore my collection of deep learning, NLP, and computer vision projects

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Open Source

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CoexistAI is a modular, developer-friendly research assistant framework that enables you to build, search, summarize, and automate research workflows using LLMs. The framework provides a comprehensive suite of tools for modern AI-powered research.

Key Features:

  • Web Exploration: Advanced web scraping and content analysis
  • Reddit Integration: Extract insights from community discussions
  • YouTube Transcript Analysis: Process and analyze video content
  • GitHub Code Exploration: Navigate and understand codebases
  • Map Generation: Create visual knowledge maps
  • Text-to-Podcast: Convert research into audio format
  • MCP Support: Full Model Context Protocol integration for seamless AI agent interaction
Python LLM NLP MLOps MCP

Experience & Education

Apr 2021 - Present

Senior Data Scientist

AI CoE, Fidelity Investments

Leading AI/ML initiatives and driving innovation in data science solutions.

Aug 2020 - Mar 2021

Data Science Associate

ZS Associates

Developed data-driven solutions and analytics for healthcare and pharmaceutical clients.

2017 - 2020

M.S. (Engineering Design) by Research

IIT Madras - ADOPT Group

Research on Advanced Design Optimization and Probabilistic Techniques. Developed interpretable multidimensional visualization techniques using Self-Organizing Maps.

2013 - 2017

B.Tech (Mechanical Engineering)

VIT Pune (Pune University)

Foundation in mechanical engineering principles and computational methods.

Updates

Updates coming soon...

Get In Touch

I'm always interested in hearing about new opportunities, collaborations, or just connecting with fellow researchers and developers.

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Email

tholesidhantp@gmail.com
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LinkedIn

Connect with me
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GitHub

View my code
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Google Scholar

Research publications
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Kaggle

Data science projects
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Resume

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