University of Rochester

B.A in Computer Science Aug 2018 – May 2022

Major GPA: 3.5/4.0 – Consecutive Dean’s List Recipient
Relevant Courses: Data Structures & Algorithms | Formal Systems & Computation | Web Programming | Human Computer Interaction | Intro to Artificial Intelligence | Database Systems | Natural Language Processing
Dean's Scholarship & Rochester National Grant Awardee

Experience

Mountain View, CA Sep 2022 - Present

WatchSW AI/ML & Algorithms

Productionized a novel, low-power ML gesture recognition algorithm (C++, Python, TFLite) for wearables, 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. Led full feature integration to production, managing critical bug triage, P0 regressions, and off/online parity.
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.
Designed a hardware abstraction layer and low-power MCU modality for the gesture detection stack as part of platformization efforts to support broader OEM adoption.
Prototyped and modeled improvements for the Auto Bedtime Mode algorithm to reduce transition latency, performing early-stage feature modeling with a Research Scientist.
Implemented on-device telemetry and ETL dashboards; 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.

Portland, OR Jun 2020 – Aug 2020

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.

Ulaanbaatar, Mongolia Jun 2019 – Aug 2019

Machine Learning Team

Analyzed the purchase history of 100,000+ users buying coupons by regression analysis using Python, Pandas, NumPy and PyTorch, thereby locating an under-marketed sector in sales that led to a 10% increase in revenue.
Launched an MVP module-based recommender system with caching for an ecommerce platform called BananaMall with 10,000+ downloads on Playstore and 100,000+ users using Python, SKLearn and DynamoDB.

Rochester, NY Sep 2019 - Dec 2021

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.

Publications

A small-molecule allosteric inhibitor of BAX protects against doxorubicin-induced cardiomyopathy. Nature Cancer, 2020. Contributing author – implemented data-processing scripts and statistical analysis.