
Machine Learning Engineer
Currently an applied ML researcher working on novel machine learning problems. I have a background in signal processing and C++ software development. have won the “Best Paper” award at the UbiComp 2021 conference for my work on FluSense, a contactless syndromic surveillance platform for influenza-like illness. I have also interned twice as an applied scientist at Amazon Alexa, where I worked on multimodal emotion detection and personalized recommendation systems. I am currently pursuing my Ph.D. in computer science at the University of Massachusetts Amherst, where I am focusing on COVID prediction using contactless sensing. I am looking for jobs in startups and other very innovative places that can leverage my skills and experience in applied ML. (I am a permanent resident of the United States under EB2-NIW)
stripe.com
gisual.com
amazon.com
edu.au
San Francisco, California, United States
Machine Learning Engineer
Stripe
• www.linkedin.com/company/stripe
• Full-time
Jun 2025 - Present
San Francisco Bay Area
Graduate Assistant
College of Information and Computer Sciences, UMass Amherst
• www.linkedin.com/school/manning-cics
• Part-time
Jun 2018 - May 2025
Amherst, Massachusetts, United States
Machine Learning Engineer
Stripe
• www.linkedin.com/company/stripe
• Internship
Jun 2024 - Aug 2024
San Francisco, California, United States
Machine Learning Researcher
Gisual
• www.linkedin.com/company/gisual
• Contract
Sep 2023 - Nov 2023
King of Prussia, Pennsylvania, United States
Applied Scientist
Amazon
• www.linkedin.com/company/amazon
• Internship
May 2022 - Sep 2022
Boston, Massachusetts, United States
Applied Scientist
Amazon
• www.linkedin.com/company/amazon
• Internship
Jun 2020 - Aug 2020
Seattle, Washington, United States