Featured Work
Read the official Pixel Watch announcement
Top Project
Pixel Watch Launch
Pixel Watch 4 Gestures
I architected and launched the One-Handed Gestures (Double Pinch & Wrist Turn) for the Pixel Watch. This involved implementing low-power ML models using C++ and TFLite, achieving >92% accuracy with sub-1ms inference time.
Blog Post
Cloud Asset Query System
Simplifying asset inventory management in Security Command Center.
Announcement Video
AI Glasses Announcement
xDevice integration with Pixel Watch where I'll be working closely with for the next year!
Product Launch
Fitbit Air
Also contributing to this product line — more to share soon.
Experience
Google
Sep 2022 – Present
Software Engineer
• Mountain View, CA
WatchSW AI/ML & Algorithms
- Launched One-Handed Gestures (Double Pinch & Wrist Turn), a novel, low-power ML gesture recognition algorithm (C++, Python, TFLite) for the Pixel Watch, partnering with a Research Scientist to lead end-to-end integration, on-device optimization, and sensor fusion (IMU & physiological signals); achieved over 92% accuracy, 1ms inference, and <250ms E2E latency.
- Architected the Gesture Hardware Abstraction Layer (HAL) to ingest and transform sensor events for the platform service, decoupling the algorithm to enable vendor-agnostic implementations (C++); introduced bidirectional communication for context-aware sensing (e.g., display state), facilitating cross-device orchestration with xDevices such as XR glasses and reducing latency by 30% through the consolidation of abstraction layers.
- Owned and optimized the Low Latency Off-body Detection (LLOB) algorithm – a core component for most algorithms and system performance – resolving false detections and power regressions, raising reliability across all shipped devices (C++, Matlab)
- Implemented on-device telemetry and ETL dashboards (Python, SQL); led Gestures and LLOB bug triage, closing 1000+ bugs.
- Mentored teammates on sensor integration and MCU-level development; led design reviews and authored the "MCU-based Practical Telemetry Guide" referenced by 24+ engineers.
Cloud Asset Inventory & Search
- Productionized a scalable C++ solution to enrich Cloud Asset Inventory with structured metadata for cloud-managed assets, impacting 90%+ of GCP resources and boosting adoption to 500,000+ active users.
- Enabled launch of Asset Enrichment in the Asset Query System (C++, SQL, Spanner), powering efficient queries across 275+ GCP asset types for SCC customers.
- Drove cross-team optimization of a workflow runner (gRPC, Borg, Python), reducing development time by 25% resulting in 10 SWE weeks saved.
OpenSesame
Jun 2020 – Aug 2020
Software Engineering Intern
• Portland, OR
Front-End Division
- Enhanced course language selection with searchable dropdowns (Angular, TypeScript); built and ported 10+ end-to-end tests from Drupal to Angular/Selenium, expanding QA coverage.
- Resolved 6+ sprint bugs—including a critical IE landing page issue—by extrapolating burn-down processes and strengthening test automation with Behat API, and unit tests.
ANDSystems
Jun 2019 – Aug 2019
Machine Learning Intern
• Ulaanbaatar, Mongolia
Machine Learning Team
- Analyzed the purchase history of 100,000+ users buying coupons by regression analysis using Python, Pandas, NumPy, and PyTorch, identifying an under-marketed sector in sales that increased revenue by 10%.
- Launched an MVP module-based recommender system with caching for an e-commerce platform (BananaMall) with 10,000+ downloads on the Playstore and 100,000+ users, using Python, SKLearn, and DynamoDB.
University of Rochester
Sep 2019 – Dec 2021
Teaching Assistant & CETL Tutor
• Rochester, NY
Computer Science Department
- Taught students in Web Programming, Data Structures & Algorithms, and Formal System & Computations courses.
- Conducted tutoring sessions with 15+ college students, resulting in a 30% increase in their respective course grades.