I studied Electrical and Computer Engineering at the University of Washington as an undergraduate and specialized in machine learning, computer vision, and signal processing for graduate school. I was born and raised in Spokane, WA and am now living in Seattle. In my free time, I build various open source projects from software to embedded devices to analog music gear. I've worked in labs, studios, garages, startups and coorperations in the Pacific Northwest and Bay Area.
University of Washington2011-2018
B.S. and M.S. in Electrical and Computer Engineering
I enrolled in UW as an undergraduate and dabbled in Digital art, Mechanical Engineering, Applied Physics, Design, Music, Computer Science and settled with Electrical Engineering. I focused on signal processing due to its wide realm of mediums (sound, image, video, data). During my masters, I did research in the areas of mobile health, computer vision, sound, natural language, automotive and machine learning in the UbiComp lab.
Google Health Research2017-Present
Combining artificial intelligence with consumer hardware to create technology that improves health outcomes
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
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)
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 DeckSummer 2016
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 System2015-2016
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)
- Backend data filtering and processing (Python, ZMQ)
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 TeamSummer 2015
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 Lead2015-2016
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
Bankroll Bitcoin MinerSummer 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 ElectronicsSummer 2014
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
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
Focused Ion Beam2013-2014
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 AmplifiersSummer 2013
Worked in a Fremont, Seattle startup that builds custom boutique tube amplifiers and analog distortion pedals.
- Board populating and soldering
- Amplifier schematic design
Custom Music Equipment2011-2014
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
Electric Car Conversion2010-2012
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 job at the local bakery
- Built custom metal components and wiring harnesses
I designed and built my own electric vehicle by converting a seized Volkswagen GTI to run fully off of batteries. It still drives. I also designed and built custom analog/digital audio hardware.
I continued working with electric cars as one of the leads for the UW EcoCar team. This led to an internship at Tesla where production firmware code for the Model S Insane Mode and Model X Falcon Wing doors and Autopilot. Following this, I focused on autonomous driving and in-vehicle display research via EcoCAR. During this time I continued to build audio hardware and software. I briefly worked at Verellen Amplifiers, researched various sound synthesis techniques, and also built rtunes, a cross-platform music discovery app based on crowdsourced data from Reddit and AI. I also began contributing to hardware and software related to cryptocurrency mining and 3D printing. During this time I recieved a minor in digital art and mathematics and a Bachelors of Science in Electrical Engineering.
I was a researcher at the UbiComp lab. Specifically, I worked on health screening/sensing mobile applications based on audio, video and other sensor input. My thesis was on the topic of smartphone sound based spirometry powered by AI. I explored several other AI, machine learning powered solutions as part of Dedsimple, a company I co-founded. Additionally, I also helped develop Zuru, an AI design assistant service offered by Haiku Deck. During this time I recieved a masters degree in Electical and Computer Engineering.