Work Experience

Below is a summary of professional roles and internships.

  • Researcher
    Elemental Research Lab · Jan 2026 – Present

    World model interpretability research; working on safe, environment-agnostic world models. Built WorldModelLens, observability and replay tooling for AI safety and interpretability research (activation caching, trajectory replay, causal analysis, safety auditing): https://github.com/Bhavith-Chandra/WorldModelLens. Lab: https://elemental-research-group.github.io/#people

  • Independent Contractor
    Transformer Lab · Oct 2025 – May 2026

    Independent contractor contributing to open-source research and tooling at Transformer Lab: https://lab.cloud/

  • Open Source Developer
    JuliaHealth · Dec 2024 – Present

    Implemented a complete RAG LLM workflow integrated with FunSQL.jl to generate and run SQL-like queries over a patient database (35M+ records), enabling fast natural-language querying for observational health research. Paper accepted at JuliaCon 2025.

  • Summer Intern
    National Payments Corporation Of India (NPCI) · May 2025 – Jul 2025

    Built a Retrieval-Augmented Generation (RAG) system for official documents using open-source LLMs; developed a no-code benchmark and optimization UI for model quantization, orchestration of AI agents and workflows. Open-sourced the system: https://github.com/ParamThakkar123/LLMUI

  • Product Developer Intern
    PumasAI · Mar 2025 – Jul 2025

    Worked on product development tasks; delivered features and experiments focused on Julia-based tooling for health/ML workflows.

  • Mentee
    Quantum Open Source Foundation · Dec 2024 – Jul 2025

    Implemented PPO and Truly PPO for benchmarking RL algorithms for Quantum Architecture Search; implemented QAOA for Barabasi-Albert graphs. Paper accepted at AAAI 2025 QIML Symposium: https://arxiv.org/abs/2507.12189

  • Machine Learning Head
    Community Of Coders, VJTI · Sep 2024 – Jul 2025

    Organized and taught ML and data science workshops for students; ran a Kaggle-style contest 'AI vs Humans' focused on detecting AI-generated text.

  • Student Mentor
    Project X VJTI · Jul 2024 – Jul 2025

    Mentored projects on Kolmogorov Arnold Networks (KANs) for GPT-like models and deep multiclass audio classification using CNNs and transfer learning.

  • Open Source Developer
    SciML · Jun 2024 – Sep 2024

    Refactored OrdinaryDiffEq.jl solver modules to improve precompilation and loading times; reorganized packages, improving precompilation from 2.46s to 0.56s (~76% improvement).

  • Contributor
    Hacktoberfest · Oct 2023 – Nov 2023

    OSS contributions across multiple repositories during the Hacktoberfest event.