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About

I'm a Master's student in Applied Data Science at San José State, graduating December 2026, and a Graduate Research Assistant in the Department of Applied Data Science, where I train and evaluate manipulation policies on a physical robot arm. I also work as an Instructional Student Assistant for machine learning.

Before grad school I spent a year and a half as a software engineer at Sapaad, building multi-tenant data pipelines that supported analytics for more than 75 customer dashboards at over five million rows a day. Before that I was a computer vision intern at Toothlens, working on an orthodontic assessment prototype that detected teeth positioning from smartphone photos. My undergraduate degree is a B.S. in Artificial Intelligence from Illinois Tech.

The thread through all of it is that I like problems where you have to build the measurement apparatus before you can tell whether the thing works. Training a policy is the easy half. The harder half is an evaluation harness that survives being interrupted, resets the scene on its own, logs every failure, and tells you honestly that you're at 92% and not at 100%. Right now I'm extending that work into Franka arms, sim-to-real transfer, and vision-language-action models for manipulation.

Education

Expected December 2026

M.S. Applied Data Science

San José State University

Coursework: Big Data Warehousing · Distributed Systems · Machine Learning · Deep Learning · Generative Models & Applications

AI & Machine Learning Operations Graduate Certificate

Indian Institute of Science (IISc)

May 2023

B.S. Artificial Intelligence

Illinois Institute of Technology

Coursework: Data Structures & Algorithms · Operating Systems

Experience

  1. Aug 2026 to present

    Instructional Student Assistant, Machine Learning

    SJSU Department of Applied Data Science

    Support machine learning instruction alongside my research work.

  2. Mar 2026 to present

    Graduate Research Assistant

    SJSU Department of Applied Data Science

    Train and evaluate robot manipulation policies on physical hardware, and build the data and evaluation pipelines behind them.

  3. Jun 2023 to Oct 2024

    Software Engineer

    Sapaad

    Built production data pipelines processing 5M+ rows a day across a multi-tenant SaaS platform, and tuned the Spark jobs behind 75+ tenant dashboards.

  4. Sep to Dec 2022

    Computer Vision Engineer Intern

    Toothlens

    Built computer vision pipelines for an orthodontic assessment prototype, detecting teeth positioning from smartphone photos.

  5. Sep 2019 to Mar 2020

    Research Assistant

    Illinois Institute of Technology

    Classified water-related disaster tweets with an SVM over FastText embeddings, reaching 85% accuracy.

Teaching & community

AI/ML Club, San José State University

Ran a hands-on LangChain workshop series teaching students to build applications on top of language models: prompts, chains, and putting the pieces together. Workshop materials

Robotics Club, San José State University

On the team building a rover for the University Rover Challenge, a Mars-analogue competition run in the Utah desert where student-built rovers have to do real work on rough terrain: retrieve and deliver equipment, run field science, and navigate autonomously between markers.

Away from the screen

Most of my spare time goes to a trail, a badminton court, or the gym. Cricket when there are enough of us for a side. And a sudoku when I want a problem that's guaranteed to have exactly one answer, which is not a guarantee the rest of my work offers.

Want the short version?

The home page lists everything I've built, filterable by the kind of role you're hiring for.