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Graduate Researcher

Berkeley AI Research (BAIR)

Reseraching the intersection between deep learning and physics.

• Developed novel ML methods and ML systems to solve partial differential equations.
• Exploring and increasing the scalability of current state-of-the-art architectures.
• See projects for more info.

Graduate Student Instructor (GSI)

University of California, Berkeley

GSI for Databases [Spring 2023] and graduate physics-inspired machine learning (PIML) [Spring 2024].

• PIML: Developed homework assignments covering deep learning, graph neural networks, and constraints for ML. Gave two lectures on Jax and diffusion models.
• Databases: Lead regular discussion sections. Built a new student contest where students submitted optimized query plan generators and operators. Rankings were created using TPC-H.

Undergraduate Research Assistant

University of Utah / Scientific Computing and Imaging Institute (SCI)

Conducted research supervised by Prof. Bei Wang Phillips and Prof.Ganesh Gopalakrishnan.

• Explored deep learning techniques with an emphasis on computational topology, computational geometry, and visualization techniques.
• Honors Thesis: Adaptive Covers of the Mapper Graph using Information Theory.

Data Science Intern

Powerhouse Venture Fund

Analyzed startups using publicly available and private internal data to generate insights about the energy and mobility sector.

• Created an internal dashboard using React.js,and Flask to analyze and search catalogued startups.
• Used machine learning to categorize startups based on their textual representation from Crunchbase and internal notes.

Software Development Engineer Intern

Amazon - Last Mile Route Planning

Built an internal dashboard to visualize and analyze recent delivery data from Amazon's last mile delivery network.

• Used React.js to create a front-end that displays routes using Mapbox GL and Amazon Maps while providing useful logistics and metrics about the route.
• Designed and implemented a Java webserver running on AWS lambda.
• Wrote white and black box testing in Jasmine and Jest for JavaScript and JUnit tests for the webserver.
• Used customer feedback to improve and add features to the application and deployed the application to production.
• Participated in daily scrum meetings, weekly operations meetings, biweekly sprints and regularly submitted and contributed to code reviews.

Blockchain Developer

Paddington Software Services

Developed blockchain applications with both technological and game theoretic soundness.

• Worked on and implemented cryptographically sound proof of stake and proof of knowledge schemes.
• Helped launch and maintain VEIL, a proof of stake and proof of work based cryptocoin.
• Helped develop a variant of Ring Confidential Transactions for VEIL.

Student Developer

University of Utah Hospital, IT Department

Lead development of a new prototype ICU system designed to move audible medical alarms to a different room, maximizing patient rest.

• Implemented multi-threading in Java to deal with multiple medical devices, including ventilators and IV pumps.
• Designed an architecture with a 99% experimental reliability by utilizing redundancies and failsafes.

Ph.D. Computer Science

University of California, Berkeley

Emphasis: Machine Learning

• Advanced Systems
• Compilers
• Computer vision & photograph
• Decentralized Finance
• Deep Learning
• ML for Biology

Honors B.S.

University of Utah

Computer Science and Applied Mathematics

• Algorithms
• Computational Topology
• Clustering
• Data Mining
• Deep Learning
• Financial Machine Learning
• Information Theory
• Linear Algebra
• Machine Learning
• Neuromorphic Architectures
• Numerical Analysis

CRA Outstanding Undergraduate Researcher Award (Finalist)

Computing Research Association

Finalist for the outstanding researcher award. Top 32 in North America.

Eccles Distinguished Scholarship

University of Utah

Full ride scholarship award to 30 incoming students at the University of Utah.