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Devansh Rathor

Data Scientist

building AI/ML enhanced full-stack applications

AI/ML Researcher and Full-Stack Developer with a strong academic foundation in Data Science & Artificial Intelligence, currently pursuing an M.S. by Research at IIT Bombay.

Proficient in Python, with hands-on experience in frameworks like PyTorch, TensorFlow, HuggingFace, and LlamaIndex, alongside web development skills using Next.js and Flask.

Research interests include Reinforcement Learning, Neural Networks, Generative AI, and Large Language Models, with a focus on advancing human-centric AI applications.

Driven to pursue a career in Research & Development, leveraging diverse technical skills to push the boundaries of AI/ML and deliver technologies that enhance everyday life.

  • Full Stack Development
  • AI/ML
  • Data Science
  • Databases
  • Generative AI
  • Research & Development
  • Cloud Computing
  • DevOps/MLOps
  • DSA
  • IoT
  • UI/UX & Creative Design
  • • • •

Experience

  • Jul 2026—Present

    Technical Secretary

    Student Council, CMInDS, IIT Bombay

    • Overlook the technical activities within the department
  • Sep 2025—Present

    System Administrator

    Centre for Machine Intelligence and Data Science, IIT Bombay

    • Maintaining and managing the compute resources & servers and systems of CMInDS
    • Developed an internal admission portal for CMInDS that was used to 300+ interviews
  • Feb 2025—Jul 2025

    AI/LLM Intern

    Migri Technologies

    • Worked on optimizing RAG pipelines for enterprise applications using LLMs
    • Implemented vector databases for efficient data retrieval
    • Developed custom pipelines for Property Graphs using LangChain and LlamaIndex
  • Jun 2024—Sep 2024

    AI/ML Research Intern

    Indian Institute of Technology, Patna

    • Working on novel approaches in the field of AI/ML
  • Jan 2023—Jul 2024

    VCP of Technical Department

    DJSCE ACM SIGAI Student Chapter

    • Overlook the AI/ML related activities of the student chapter
    • Leading a team of 5 co-committee members
    • Conducted a workshop on technical project managment using tools like GitHub, to over 50 attendees
    • Hosted SYN3RGY, a 24hr hackathon in collaboration with DJS NSDC and DJS ISACA
  • Jun 2023—Aug 2023

    Frontend Engineer

    Trikon Ecosystems

    • Developed responsive UI for various services provided by Trikon using Next.js
    • Developed a ERC 4337 Wallet, NFT Marketplace and a Game integration toolkit.
  • Oct 2022—Jun 2023

    Co-Head InfoTech (Web)

    DJSCE ACM Student Chapter

    • Designed and developed responsive and dynamic websites for the chapter and the chapter's events like Line of Code Hackathon and Internship Fair
    • The Intership fair website recieved over 2000 individual applications from nearly 400 students

Education

  • Jul 2025—May 2028

    Indian Institute of Technology, Bombay

    MS by Research in Data Science and Artificial Intelligence

    CPI: 9.22

  • Jan 2022—Dec 2025

    Indian Institute of Technology, Madras

    BS in Data Science and Applications

    CGPA: 9.57

  • Sep 2021—May 2025

    Dwarkadas J. Sanghvi College of Engineering

    B.Tech in Artificial Intelligence and Machine Learning

    CGPA: 9.20

  • Jun 2019—May 2021

    B. K. Gadia A-Levels Junior College

    A-Levels, Science

    Grade: A

  • Jun 2009—May 2019

    D. G. Khetan International School

    IGCSE, Science

    Grade: A

Projects

  • Jun 2024 - Apr 2025

    FloBlocks

    DJSCE

    • An extensible paper-based block programming tool using computer vision (ArUco markers, OpenCV, EasyOCR) to interpret physical flowcharts with handwritten inputs, translating them into executable Python. It leverages LLMs (Gemini) for intelligent feedback and explanations, designed for affordable high school programming education. Developed for B.Tech Finaly Year Project
  • Sep 2022 - May 2024

    OptimeAI

    DJSCE

    • A full-stack web application that uses LLMs and Prompt Engineering for calendar scheduling and time management, built as part of the Innovative Product Development (IPD) course at DJSCE.
  • Jun 2023 - Dec 2023

    Client Classification & Forecasting for an Architectural Hardware Distributor

    IIT Madras

    • Classified the B2B clients into five tiers using Clustering & Decision Trees, as well as performed sales forecasting via Regression Analysis using real world data from an Architectural Hardware Distributor for the fiscal year 2022-23.

Certifications & Achievements

Download Resume

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