Data & AI Engineer

ROHAN PATIL — Data & AI Engineer portfolio

ML Engineer @ PANTA, building scalable systems for the next generation of creative tooling. Specialized in Python & ML/DL with end-to-end ownership across Azure, AWS & Cloudflare.

swipe · tap a tab

Portfolio

Projects

Reinforcement Learning

2048 Master — AlphaZero RL

The problem

2048 is highly stochastic — tile spawns are random and the state space is enormous. Prior bots either lean on hand-tuned heuristics (Expectimax) or shallow planning (Deep Q-Learning), both leaving wins on the table.

Python PyTorch AlphaZero MCTS +3
Web Development

Full-Stack Web Development

The problem

Professional online presence without the technical know how.

Next.js React TypeScript Cloudflare Stack +4
Web App

Product Ingredient Analyzer

The problem

Product marketing and packaging are very misleading. There are too many obscure ingredients like 'ALPHA-ISOMETHYL IONONE' or 'SOY LECITHIN, MONO + DIGLYCERIDES, CARAGEENAN'. I want to know what they are and if they are safe.

Gemini Vision React TypeScript Cloudflare Workers +1
Data Science

Sentiment Analysis Dashboard

The problem

Evaluating public opinion organically is a great way to understand the market. This can be applied to any product or service.

Python React TypeScript SQLite +3
NLP

News Aggregator & Clean News Feed

The problem

Clickbait news articles are worse than ever. Closing pop-ups, accepting cookies and filtering through all the jargon is hardly what our ancestors expected us to be doing.

Python Flask HuggingFace Transformers BeautifulSoup +1
Finance

SEC Filing Sentiment for Stock Evaluation

The problem

Reading through all the SEC filings is difficult. We need to be able to dissect the technical jargon and analyze the sentiment of the company.

Python BeautifulSoup FinBERT SEC API +1
Statistics

Statistical Workforce Productivity Study

The problem

Workers are not motivated to do their best work. We need to know how to motivate them.

Excel JMP MTurk
Physics

Muon Mass via Monte Carlo Simulation

40k‑run Monte Carlo estimating muon mass at 100 ± 5 MeV with automated parameter sweeps.

Python NumPy SciPy Matplotlib
Physics

Building a Microscope

Custom optical microscope built from off‑the‑shelf parts, calibrated via Python image analysis.

Python OpenCV CAD
AI Agents

Autonomous Agents — LangGraph Due Diligence

The problem

Due diligence is a manual grind. Analysts burn days pulling filings, news, financials, and prospect lists by hand before a single insight surfaces — and the work doesn't scale.

Python LangGraph LangChain LLMs +3
Career

Experience

Applied physics to ML systems, cloud-native product work, and the odd origin story that explains the current operating system.

Resume
  1. Machine Learning Engineer

    2026 – Present

    Panta OS

    • Developing and deploying machine learning models for production systems.
    • Building scalable ML pipelines and cutting-edge AI infrastructure.
    PythonML/DLAzureAWS
  2. Education

    Masters in Data Science

    2025 – 2026

    COEP Technological University

    Advanced statistical modeling, machine learning, and big-data analytics applied to real-world problems.

  3. Freelance Full-Stack Developer

    2024 – Present

    Self-Employed

    • Architecting high-performance web apps on the Cloudflare stack — Workers, Pages, D1, R2.
    • Next.js and Astro builds for clients across creative agencies, hospitality, and wellness.
    Cloudflare WorkersD1 / R2Next.jsAstro
  4. Computational Analyst

    2022 – 2024

    SapientAI · Austin, TX

    • Built and deployed ML models for nuclear-fusion plasma simulations — 25% better prediction accuracy.
    • Engineered data pipelines processing 500GB+ datasets, cutting runtime by 40%.
    • Maintained and scaled 3 production applications for internal research teams.
  5. Teaching Assistant

    2019 – 2022

    UMass Amherst

    • Led weekly Physics & Astronomy lab sessions for 120+ undergraduate students.
    • Evaluated 1,200+ assignments and exams; detailed feedback lifted the class average by 15%.
  6. Marketing & Sponsorship Manager

    2019 – 2020

    CodeDay · Boston

    • Negotiated $10K+ in sponsorships from 5 tech companies for a 200-attendee CS education event.
    • Directed a cross-functional team of 4 and developed the marketing campaigns.
  7. Education

    BS in Applied Physics

    2018 – 2022

    UMass Amherst

    Major in Applied Physics, Minor in Resource Economics — plus a hard-earned respect for New England winters.

  8. Education

    Exchange Student

    2015 – 2016

    Rungsted Gymnasium · Denmark

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

  1. Age of Discovery

    2015

    The Internet

    Downloaded my first 'totally legal' MP3. Discovered that buffering is the universe's way of teaching patience.

  2. End of the World Survivor

    2012

    Earth, Somehow

    Successfully outlived the Mayan apocalypse. Spent December 21st eating snacks and waiting for meteors. Slightly disappointed, mostly relieved.

  3. Gaming Prodigy

    2009

    Parent's Living Room

    Achieved legendary status in NFS Most Wanted. Also learned that rage-quitting is a valid life skill. First exposure to 'Go outside and touch grass.'

  4. First PC Encounter

    2005

    Home

    Witnessed the miracle of dial-up internet. Drew masterpieces in MS Paint. Discovered that 'Ctrl+Alt+Del' fixes everything. Skills that remain relevant today.

  5. Aspiring Scientist

    2002

    Backyard Laboratory

    Conducted groundbreaking research on what happens when you mix everything in the kitchen. Results: One angry mother, lifetime ban from unsupervised experiments.

  6. Hello World

    1999

    Earth v1.0

    Successfully deployed to production. Zero bugs reported at launch, Y2K immunity confirmed.

  7. Big Bang

    ~13.8 Billion BC

    Singularity, Nowhere

    Shipped the entire universe in a single commit. No code review, no rollback plan, absolutely no tests. Hottest launch on record — 10³² K on day zero. Still expanding the scope to this day.

Toolkit

Stack

Roughly ordered by how often I reach for them.

Languages

PythonJavaScriptTypeScriptSQLHTML/CSS

AI & LLMs

Ollama / LM Studio / Gemma 4Claude Agent SDKMCPpydantic-aiOpenAIGeminiGroqMistralCohereHugging FaceVertex AILM StudioKimi K Series

Frameworks & Libraries

ReactNext.jsAstroViteTailwind CSSshadcn/uiTanStack QueryFramer MotionThree.js

Backend & Data

FastAPISQLAlchemyPydanticFlaskTemporalAPSchedulerPostgreSQLSQLiteSupabasePlaywrightPytest

Data, ML & Imaging

NumPyPandasScikit-LearnPyTorchTensorFlowScipyMatplotlibNLPOpenCVPillowPowerBITableau

Cloud, Infra & Tools

Cloudflare WorkersDockerAzureAWSGCPGitHub ActionsVercelNetlifyLogfireOpenTelemetryFigma
Say hi

Let's build
something.

Email
Copied
Local time
--:--

Data & AI Engineer

ROHAN PATIL

ML Engineer @ PANTA — scalable systems for creative tooling. Python · ML/DL · Azure, AWS & Cloudflare.

10 selected builds

Projects

Reinforcement Learning

2048 Master — AlphaZero RL

The problem

2048 is highly stochastic — tile spawns are random and the state space is enormous. Prior bots either lean on hand-tuned heuristics (Expectimax) or shallow planning (Deep Q-Learning), both leaving wins on the table.

Python PyTorch AlphaZero MCTS +3
AI Agents

Autonomous Agents — LangGraph Due Diligence

The problem

Due diligence is a manual grind. Analysts burn days pulling filings, news, financials, and prospect lists by hand before a single insight surfaces — and the work doesn't scale.

Python LangGraph LangChain LLMs +3
Web App

Product Ingredient Analyzer

The problem

Product marketing and packaging are very misleading. There are too many obscure ingredients like 'ALPHA-ISOMETHYL IONONE' or 'SOY LECITHIN, MONO + DIGLYCERIDES, CARAGEENAN'. I want to know what they are and if they are safe.

Gemini Vision React TypeScript Cloudflare Workers +1
Web Development

Full-Stack Web Development

The problem

Professional online presence without the technical know how.

Next.js React TypeScript Cloudflare Stack +4
Data Science

Sentiment Analysis Dashboard

The problem

Evaluating public opinion organically is a great way to understand the market. This can be applied to any product or service.

Python React TypeScript SQLite +3
NLP

News Aggregator & Clean News Feed

The problem

Clickbait news articles are worse than ever. Closing pop-ups, accepting cookies and filtering through all the jargon is hardly what our ancestors expected us to be doing.

Python Flask HuggingFace Transformers BeautifulSoup +1
Finance

SEC Filing Sentiment for Stock Evaluation

The problem

Reading through all the SEC filings is difficult. We need to be able to dissect the technical jargon and analyze the sentiment of the company.

Python BeautifulSoup FinBERT SEC API +1
Statistics

Statistical Workforce Productivity Study

The problem

Workers are not motivated to do their best work. We need to know how to motivate them.

Excel JMP MTurk
Physics

Muon Mass via Monte Carlo Simulation

40k‑run Monte Carlo estimating muon mass at 100 ± 5 MeV with automated parameter sweeps.

Python NumPy SciPy Matplotlib
Physics

Building a Microscope

Custom optical microscope built from off‑the‑shelf parts, calibrated via Python image analysis.

Python OpenCV CAD

swipe to browse · tap a card for details

5 roles · 3 education

Experience

Resume
  1. Machine Learning Engineer Panta OS · 2026 – Present NOW
    • Developing and deploying machine learning models for production systems.
    • Building scalable ML pipelines and cutting-edge AI infrastructure.
    PythonML/DLAzureAWS
  2. Masters in Data Science COEP Technological University · 2025 – 2026 EDU

    Advanced statistical modeling, machine learning, and big-data analytics applied to real-world problems.

  3. Freelance Full-Stack Developer Self-Employed · 2024 – Present
    • Architecting high-performance web apps on the Cloudflare stack — Workers, Pages, D1, R2.
    • Next.js and Astro builds for clients across creative agencies, hospitality, and wellness.
    Cloudflare WorkersD1 / R2Next.jsAstro
  4. Computational Analyst SapientAI · 2022 – 2024
    • Built and deployed ML models for nuclear-fusion plasma simulations — 25% better prediction accuracy.
    • Engineered data pipelines processing 500GB+ datasets, cutting runtime by 40%.
    • Maintained and scaled 3 production applications for internal research teams.
  5. Teaching Assistant UMass Amherst · 2019 – 2022
    • Led weekly Physics & Astronomy lab sessions for 120+ undergraduate students.
    • Evaluated 1,200+ assignments and exams; detailed feedback lifted the class average by 15%.
  6. Marketing & Sponsorship Manager CodeDay · 2019 – 2020
    • Negotiated $10K+ in sponsorships from 5 tech companies for a 200-attendee CS education event.
    • Directed a cross-functional team of 4 and developed the marketing campaigns.
  7. BS in Applied Physics UMass Amherst · 2018 – 2022 EDU

    Major in Applied Physics, Minor in Resource Economics — plus a hard-earned respect for New England winters.

  8. Exchange Student Rungsted Gymnasium · 2015 – 2016 EDU

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

◂◂ Origins

  1. Age of Discovery The Internet · 2015

    Downloaded my first 'totally legal' MP3. Discovered that buffering is the universe's way of teaching patience.

  2. End of the World Survivor Earth, Somehow · 2012

    Successfully outlived the Mayan apocalypse. Spent December 21st eating snacks and waiting for meteors. Slightly disappointed, mostly relieved.

  3. Gaming Prodigy Parent's Living Room · 2009

    Achieved legendary status in NFS Most Wanted. Also learned that rage-quitting is a valid life skill. First exposure to 'Go outside and touch grass.'

  4. First PC Encounter Home · 2005

    Witnessed the miracle of dial-up internet. Drew masterpieces in MS Paint. Discovered that 'Ctrl+Alt+Del' fixes everything. Skills that remain relevant today.

  5. Aspiring Scientist Backyard Laboratory · 2002

    Conducted groundbreaking research on what happens when you mix everything in the kitchen. Results: One angry mother, lifetime ban from unsupervised experiments.

  6. Hello World Earth v1.0 · 1999

    Successfully deployed to production. Zero bugs reported at launch, Y2K immunity confirmed.

  7. Big Bang Singularity, Nowhere · ~13.8 Billion BC

    Shipped the entire universe in a single commit. No code review, no rollback plan, absolutely no tests. Hottest launch on record — 10³² K on day zero. Still expanding the scope to this day.

61 tools · 6 domains

Stack

Roughly ordered by how often I reach for them.

Languages 5
PythonJavaScriptTypeScriptSQLHTML/CSS
AI & LLMs 13
Ollama / LM Studio / Gemma 4Claude Agent SDKMCPpydantic-aiOpenAIGeminiGroqMistralCohereHugging FaceVertex AILM StudioKimi K Series
Frameworks & Libraries 9
ReactNext.jsAstroViteTailwind CSSshadcn/uiTanStack QueryFramer MotionThree.js
Backend & Data 11
FastAPISQLAlchemyPydanticFlaskTemporalAPSchedulerPostgreSQLSQLiteSupabasePlaywrightPytest
Data, ML & Imaging 12
NumPyPandasScikit-LearnPyTorchTensorFlowScipyMatplotlibNLPOpenCVPillowPowerBITableau
Cloud, Infra & Tools 11
Cloudflare WorkersDockerAzureAWSGCPGitHub ActionsVercelNetlifyLogfireOpenTelemetryFigma
hi@rohanpatil.ai

Say hi

Let's build
something.

Email
Copied
Local time
--:--

The Build