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
Aug 2026 to present
Instructional Student Assistant, Machine Learning
SJSU Department of Applied Data Science
Support machine learning instruction alongside my research work.
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.
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.
Sep to Dec 2022
Computer Vision Engineer Intern
Toothlens
Built computer vision pipelines for an orthodontic assessment prototype, detecting teeth positioning from smartphone photos.
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.
- Hiking
- Sudoku
- Badminton
- Cricket
- Gym
Want the short version?
The home page lists everything I've built, filterable by the kind of role you're hiring for.