Google
Software Engineer
San Francisco, CA
Sep 2022 - Present
Pixel Watch Device Algorithms
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Partnered with a Research Scientist to develop end-to-end, a real-time gesture
recognition algorithm using
C++, TFLite, and Python,
integrated with various IMU sensors and
optimized for low latency and power consumption.
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Augmented and took code ownership of the
Low Latency Off-body Detection Sensor algorithm using
C++.
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Refined core algorithm components (e.g., data buffering,
sensor fusion), and designed telemetry systems with metrics
dashboards and analysis pipelines, resolving
50+ bugs to improve accuracy and latency.
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Collaborated with cross-functional teams to integrate the gesture-based
algorithm into 1P apps, resolving system-level conflicts and enabling new user
interaction methods, culminating in recognition through
high-visibility demos.
Cloud Asset Inventory & Search
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Productionized a reliable, scalable solution in C++ to enrich
Cloud Asset
Inventory with structured, enhanced metadata into the centralized data
warehouse for cloud-managed assets, impacting
over 90% of GCP Resources and increasing user adoption YoY with
a current user base of
over 500,000 active users.
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Assisted in launching Asset Enrichment end-to-end into the
Asset Query System using C++, SQL, and
Spanner, leveraging enriched metadata to deliver efficient
query results of more than
275 GCP asset types for SCC customers.
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Drove a cross-team engagement to optimize a workflow runner using
gRPC, Borg, and
Python, reducing development time by 25% and
saving the equivalent of
~10 SWE weeks.
OpenSesame
Software Engineering Intern
Portland, OR
Jun 2020 – Aug 2020
Front-End Division
- Extended language drop-down feature to include search selection
for courses
through Angular and TypeScript
- Extrapolated multiple burn-down processes with Behat, API and
Unit tests
resulting in locating over 6 different bugs
spawned from the most recent sprints, resolving the bug which prevented the
landing page from loading for IE users
- Built out E2E tests through replicating over 10 deprecated legacy
tests from
Drupal to Angular & Selenium
University of Rochester
Teaching Assistant & CETL Tutor
Rochester, NY
Sep 2019 - Dec 2021
- 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
ANDSystems
Machine Learning Intern
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