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Education, research, experience, and teaching.
Education
Carnegie Mellon University — B.S. in Computer Science
GPA: 4.0/4.0 · Dean’s List, High Honors
Current coursework: Deep Reinforcement Learning (10-703, PhD), AI & ML I (07-280), Computer Vision (16-385), and Probability and Computing (15-259).
Completed coursework: Introduction to Computer Systems (15-213), Principles of Imperative Computation (15-122), Functional Programming (15-150), Mathematical Foundations for Computer Science (15-151), Matrices and Linear Transformations (21-241), Vector Calculus (21-266), and Introduction to Mathematical Finance (21-270). Sat in on Inference Algorithms for Language Modeling (11-763).
Research Chair, ACM@CMU: directing research projects and a seminar for CMU’s largest computer science organization.
Research
AI & Reinforcement Learning (AIRe) Lab, CMU
Research · Current
Recently joined the AIRe Lab under Prof. Aviral Kumar.
Robot Caregiving and Human Interaction (RCHI) Lab, CMU
Research Assistant · January 2026–present
Advised by Prof. Zackory Erickson.
- Developing GenPHRI, a framework that generates physical human–robot interaction scenarios from text and transfers simulation-trained policies to real robots.
- Proposed and implemented a residual imitation learning method that improved completion and efficiency on long-horizon human–robot interaction tasks by 50%.
- Co-first author on GenPHRI: Agentic Generative Simulation for Physical Human-Robot Interaction.
Assistive Sensing Systems, Extentek
Research Lead · 2020–2025
- Invented and developed a LiDAR time-of-flight device to prevent overpouring for visually impaired users.
- Granted US Patent 10830626 B2.
- Co-authored Spill-O-Not: A contactless material level indicator for visually impaired users, published in Journal of Physics: Conference Series in 2026.
Experience
Palantir Technologies
Software Engineer Intern · May–August 2026 · Seattle, WA
- Re-architected a core production service to reduce its memory footprint by 10× and enable horizontal scaling.
- Led a team of three engineers on a major refactor of a fleetwide service.
Firebolt Inc.
Software Engineer Intern · Summer 2025 · Seattle, WA
- Trained an RNN to jointly predict AWS EC2 capacity and customer demand for compute acquisition.
- Deployed the data cleaning, featurization, and inference pipeline as a Go gRPC microservice, reducing compute costs by 25% and preventing acquisition failures.
- Built tooling to benchmark data warehouse performance across cluster shapes, query acceleration settings, and caching strategies.
SDF Labs → dbt Labs
Software Engineer Intern · Summer 2024
- Led development of the Reports cloud-console feature in Svelte, TypeScript, and Tailwind CSS to track metadata across data workloads.
- Scraped and normalized SQL-dialect metadata in Python for cross-dialect compilation.
Extentek LLC
Co-founder & CEO · 2018–2025
- Invented and patented an overpour prevention device for blind users.
- Raised funding and presented at accessibility and technology events including AHG, M-Enabling, and the GeekWire Summit.
SEAL Lab, University of Washington
Intern & Team Lead · Summer 2023
- Led a team of interns in writing an NIH STTR R41 grant proposal.
Teaching
Carnegie Mellon University School of Computer Science · January 2026–present
- 15-213: Introduction to Computer Systems — Fall 2026. Low-level systems programming, performance, and debugging in C; memory allocators, cache simulators, and multithreaded web proxies.
- 15-122: Principles of Imperative Computation — Spring 2026. Data structures, algorithms, and imperative programming in C.
Awards & selected projects
- BallotGuide — TartanHacks 2026 winner, among 279 submitted projects. Source-grounded ballot explanations and 3D visualizations of local policy impacts.
- Truely — UC Berkeley AI Hackathon 2025, winner of Letta’s Most Creative Usage of Letta award. An agentic browser extension for in-page fact-checking.
- Phagentic — UC Berkeley AI Hackathon 2026. A physical bioreactor with sensor-driven model predictive control.
Explore projects and demos · View publications
Technical skills
Languages: C, Go, C++, Python, Java, Swift, JavaScript/TypeScript, SQL, HTML/CSS.
Machine learning & robotics: PyTorch, ROS2, NumPy, Pandas, Create ML, Gemini/OpenAI/Anthropic APIs.
Systems & applications: gRPC, Kubernetes, AWS, PostgreSQL, Svelte, React, Flutter, Supabase, Tailwind CSS.