Rohan Patil

Rohan Patil

I build ML systems. Then I check whether it worked first time. It almost never does.

ML engineer at Panta, working on AI tools for print publishing. On the side, ML research and client websites. I studied physics before any of this.

Selected work

  1. Kronos on the NIFTY50

    2026 · Quantitative ML

    Four pre-registered rounds. No tradeable edge on Indian stocks after fees and tax.

    Python, PyTorch, Hugging Face Transformers, qlib, NumPy, pandas, Parquet, Fama–MacBeth regression, Causal PCA, Newey–West standard errors, Block bootstrap, Apple Silicon (MPS)

  2. AI Publishing Platform

    2026 – ongoing · AI layer, end to end · Production AI

    Image selection, brand-guideline edits, and media search: the AI layer I built for a print publishing platform.

    Python, FastAPI, Pydantic, PostgreSQL, Azure, React, TypeScript, LLM tool-calling, Headless browser rendering, CI/CD

  3. AlphaZero for 2048

    2026 · Reinforcement Learning

    Self-play only, no hand-coded evaluation. About 28% of late-stage games reach 2048.

    Python, PyTorch, MCTS, ResNet, Mixed precision (AMP)

  4. Client Sites on Cloudflare

    2024 – ongoing · Design, build, deploy, maintain · Web Engineering

    Five client sites on Cloudflare Pages and Workers. All five still up.

    Astro, Next.js, React, TypeScript, Tailwind CSS, Cloudflare Pages, Cloudflare Workers, R2, D1

All projects

Experience

  1. Machine Learning Engineer

    Panta · 2026 – Present

    • Built the AI layer of a publishing platform that turns loose copy and image sets into print-ready layouts.
    • The model proposes; deterministic code decides. Every proposal is validated before it touches the document, and layout geometry is never left to a model.
    • Shipped a chat editing assistant: tools run on the server, changes are validated first, persistent ones ask for confirmation, and everything can be undone.

    Python, FastAPI, Pydantic, PostgreSQL, Azure, React, TypeScript

  2. Masters in Data Science

    COEP Technological University · 2025 – 2026

    Statistical modeling, machine learning, and big-data analytics.

  3. Freelance Full-Stack Developer

    Self-Employed · 2024 – Present

    • Built client web apps with Cloudflare Workers, Pages, D1, and R2.
    • Next.js and Astro sites for a photographer, a media studio, a bakery, a breath coach, and a restaurant.

    5 sites live in production · 4 services Workers, Pages, D1, R2

    Cloudflare Workers, D1 / R2, Next.js, Astro

  4. Computational Analyst

    SapientAI · Austin, TX · 2022 – 2024

    • Built and deployed ML models for nuclear-fusion plasma simulations, 15% better prediction accuracy.
    • Built data pipelines for 500GB+ datasets and cut their runtime by 40%.
    • Maintained and scaled three production apps for internal research teams.

    15% better prediction accuracy · 500GB+ pipeline scale · 40% runtime reduction

  5. Teaching Assistant

    UMass Amherst · 2019 – 2022

    • Ran weekly physics and astronomy labs for 120+ undergraduates.
    • Graded 1,200+ assignments and exams, each with written feedback.

    120+ students taught · 1,200+ assignments reviewed

  6. Marketing & Sponsorship Manager

    CodeDay · Boston · 2019 – 2020

    • Raised $10K+ from five tech companies for a 200-attendee CS education event.
    • Led a team of four on the marketing.

  7. BS in Applied Physics

    UMass Amherst · 2018 – 2022

    Applied Physics major, Resource Economics minor, and a lasting respect for New England winters.

  8. Exchange Student

    Rungsted Gymnasium · Denmark · 2015 – 2016

    A year in Denmark: biking through blizzards, excessive pastries, and a working theory of hygge.

Capabilities

Contact

Email is the best way to reach me.

Local time 19:33