Resume

Education

• 

  University of Washington

  2011-2018

  B.S. and M.S. in Electrical and Computer Engineering

  I enrolled in UW as an undergraduate and dabbled in Mechanical Engineering, Applied Physics, digital art (DXArts), Design, Music, Computer Science and settled with Electrical Engineering (ECE). I focused on signal processing due to its wide realm of mediums (sound, image, video, data). During my masters, I did research in applied AI working on mobile health, computer vision, sound, natural language, automotive in the UbiComp lab.

Work Experience

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  Google Health Research

  2017-Present

  Website My Research Profile My Patents

  Combining artificial intelligence with consumer hardware to create technology that improves health outcomes

  • Commercialized and expanded UbiComp lab research such as BiliCam, SpiroSmart and CoughSense
  • Developed audio cough sensing AI which shipped on Pixel Phones and Nest Hub
  • Developed radar and sonar based respiration sensing algorithms which shipped on Pixel Phones and Nest Hub
  • Developed remote care COVID-19 diagnostic and data science tools during the pandemic
  • Trained large audio and sensor foundation models specialized in health signals
  • Experimenting with LLMs for use in consumer health
• 

  University of Washington Guest Lectures

  2023-Present

  Embedded AI/ML Slides (2025) Embedded Platforms Slides (2024) Microcontrollers Slides (2024)

  Invited guest lecturer for the Embedded Systems Capstone course (CSE/EE 475). Lectures cover on-device artificial intelligence, machine learning, product and hardware engineering, and microcontrollers.

• 

  Aigen

  2020-2023

  Website YouTube

  Early collaborator with founders pre-funding, currently an advsor helping with AI training, computer vision, reinforcement learning and on-device sensing and processing.

• 

  Senosis

  2017

  Worked as a software developer on commercializing mobile health research, aquired by Alphabet (Google). Involved on device machine learning for image, audio, and other mobile modalities

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  UbiComp Lab

  2016-2018

  Website

  The ubiquitous computing (UbiComp) research lab, led by Prof. Shwetak Patel, focuses on many areas of ubiquitous computing including novel user interface technology, energy sensing, low-power sensing, health sensing, and activity recognition by applying expertise in sensing, signal processing, embedded systems, circuits, and human-computer interaction. Close collaborations with Microsoft Research, Oculus Research, Intel, Google, and many other companies.

  • Using signal processing and machine learning to measure lung health and screen for obstructive lung disease on a mobile phone
  • Designing a mechanical pulmonary system
  • Researching methods to measure blood pressure via mobile phone camera
  • Collect data from patients and students
  • Mentor undergrad students
• 

  Puppy.ai

  2015-2018

  Website

  An iOS dog breed detection app assisted by on-device deep learning powered by Tensorflow. puppy.ai is available in the app store. Worked on a small, effective international team of three.

  • Trained Tensorflow model and built mobile engine
  • Designed and prototyped iOS app and web app (App Store link)
• 

  rtunes.xyz

  2016-2019

  Currently Offline

  Created open source music player that generates hundreds of playlists and stations based on crowed sourced data from Reddit. Select playlists that answer questions such as "What's your favorite song in a language you don't speak", or get a live feed of music as people around the world post it.

  • Open source and used by thousands of people
  • Built web and mobile apps with React.js
  • Distributed desktop app powered by Electron
• 

  Haiku Deck

  Summer 2016

  Demo

  A presentation iOS and Web app Seattle startup used by millions. It features Zuru, an AI platform for presentation automation. I contributed to research and development for the Zuru service and its assistant features that generate presentations from external content such as wikipedia or outlines.

  • Worked on the presentation assistant, Zuru
  • Web development mostly with React and Node
• 

  Driver Awareness System

  2015-2016

  Video Demo Interactive Demo

  Founded and lead a student team designing a full-fledged driver awareness system to monitor a driver's attention using metrics such as distraction, sleep, phone usage and happiness. Metrics are based on realtime analysis of the drivers face and can be visualized on our UI. This concept won Innovative Use of Data (GE) and Best Travel Hack (Concur) at its original unveiling at DubHacks, then 3rd place Consumer Appeal at the national EcoCAR event. Entered in Amazon Catalyst for funding.

  • Microsoft Kinect embedded vision hardware
  • Vision detection algorithms (C/C++, OpenCV, Matlab)
  • Frontend data visualization (D3 and Javascript)
  • Backend data filtering and processing (Python, ZMQ)
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  Urban Parking

  2016

  City of Seattle Parking App project sponsored by the Seattle Department of Transportation to forecast available parking and route drivers to open spots. Forecasting is based on 45 million historical transactions. Future collaboration with the Google Sidewalks Project. Submitted to UW CoMotion for further funding.

  • Custom machine learning algorithm
  • Web frontend, service and Android app development
  • Several Presentations and project pitches to investors and educators
• 

  Tesla Integration Team

  Summer 2015

  Model X

  Systems Integration intern on a small multidisciplinary team focused solely on the development of the Model X falcon doors and sensing

  • Wrote production sensor firmware code
  • Contributed to Model X: controls, firmware, sensing, design, validation and testing
  • Created custom data collection and visualization tools
  • Built custom DC motor dynamometer (for falcon doors) and shared the design with SpaceX engineers
  • Presented and submitted reports to engineering VPs including Elon
  • Set up and documented Phase Space 3d motion modeling system
• 

  Advanced Driver Assist Lead

  2015-2016

  EcoCAR 3 Youtube Channel

  Lead the autopilot research team for EcoCAR 3 which aims to design and integrate advanced autopilot features on a 2016 Camaro. Our system is capable of realtime object detection including sign, lane, vehicle and pedestrian detection. Received Second Place for Driver Assist technology (tie)

  • Project Management and leadership
  • Developed realtime vision applications based on the YOLO convolutional neural network framework and deployed on the NVIDIA Jetson TX1 Embedded Systems Module
  • Embedded Freescale S32V hardware for CAN signal and vision processing
  • Employed sensors such as stereo video, ultrasonic, gps and radar
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  Bankroll Bitcoin Miner

  Summer 2014

  One of three working on consumer bitcoin startup project. Contributed to PCB, firmware development, schematic and plastic enclosure. Worked with custom BitFury ASIC mining chip

• 

  Tesla Power Electronics

  Summer 2014

  Model S

  Power Electronics intern focused on the high voltage electric system for the Model S P85D Insane mode

  • Injection molded, 3d printed and machined part design and tooling
  • Testing and validation on existing parts (temperature and current cycling)
  • R+D for future technology (specifically high voltage fuses, contactors and charging plugs)
  • Creating and implementing professional CAD, drawings, schematics, and PCB designs
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  Electrical Lead

  2013-2015

  EcoCAR 2

  Involved in the competition for all three years and became electrical lead . We were awarded first place electrical team for multiple years.

  • Lithium ion battery pack design
  • Leadership and project management
  • High voltage training, fusing, simulation, harnesses
  • Modeled high and low voltage systems in Simulink, Matlab and NX CAD
  • Created and implemented professional schematics and wire harnesses
  • Collaboration with multidisciplinary students, faculty and industry
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  Focused Ion Beam

  2013-2014

  Research Assistant for Professor Bruce Darling, UW Electrical Engineering.

  • Simulated circuit boards in Multisim and Labview
  • Designed PCBs with Ultiboard
  • Worked with one of the few remaining FIB machines
• 

  Verellen Amplifiers

  Summer 2013

  Website

  Worked as an apprentice in a Fremont, Seattle startup that builds custom boutique tube amplifiers and analog distortion pedals.

  • Board populating and soldering
  • Amplifier schematic design
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  Custom Music Equipment

  2011-2014

  Designed, built and sold guitar pedals and analog audio FX for local bands and friends

  • Learned analog electronics fundamentals
  • Became familiar with PCB design, entrepreneurship and part sourcing
  • Lots of troubleshooting and breadboard work
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  Electric Car Conversion

  2010-2012

  Website

  I designed, funded and converted a gas powered Volkswagen GTI to fully electric while in highschool. Awarded Washington Society of Engineering scholarship upon completion

  • Designed and hand built the high voltage motor controller
  • Sourced all of the new components , sold the old
  • Operated with a small, personal budget, funded by my bakery job
  • Built custom metal components and wiring harnesses