Chappy Asel

Co-Founder, CEO at Cofactory
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us****@****om
(386) 825-5501

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Experience

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Co-Founder, CEO
      • Oct 2023 - 3 months

      San Francisco Bay Area The future of value creation in an AI-based economy.

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Co-Founder
      • Feb 2023 - 11 months

      San Francisco Bay Area The Bay Area's largest AI community: 7,000+ founders, funders, and thought leaders built around a shared curiosity for generative AI. Our tight-knit collective brings together visionaries with a diverse set of backgrounds and experiences to exchange ideas and perspectives, fostering friendship and community.

    • Founder
      • Aug 2017 - 6 years 5 months

      • Founded a gamified platform to analyze workouts complete with AI/ML, intelligent feedback, leaderboards • Leading all product design, marketing, data science/analytics, and customer support/feedback efforts • 70k+ installs, 5k+ MAU, 2M+ sessions, 4.7 star rated, top-10 weightlifting app

    • United States
    • Computers and Electronics Manufacturing
    • 700 & Above Employee
    • AR/VR Software Engineer
      • Sep 2021 - Oct 2023

      Cupertino, California, United States Vision Products Group (VPG)

    • United States
    • Medical Device
    • 1 - 100 Employee
    • Engineering Consultant
      • Jan 2021 - Apr 2021

      Seattle, Washington, United States • Developed initial website in preparation for public launch in collaboration with design and engineering teams • Implemented components of low-level BLE object transfer protocol between firmware and mobile application • Identified and fixed critical, longstanding flaws in implementation of firmware • Weekly reviews with CTO and CEO on technical and strategic matters

    • United States
    • Computers and Electronics Manufacturing
    • 700 & Above Employee
    • AI/ML Software Engineer
      • Jul 2020 - Sep 2020

      Seattle, Washington, United States Team: AI/ML MLPT - Adaptive Devices and Personalization Technologies (ADPT) • Conducted a user study to answer key questions and determine metrics for eye tracking on mobile devices • Implemented an algorithm for dynamic eye tracker recalibration based on existing system interactions • Designed a system for pre-loading asynchronous content using interest prediction derived from gaze data • Demoed a proof-of-concept of intelligent UI element selection, leveraging gaze data and voice… Show more Team: AI/ML MLPT - Adaptive Devices and Personalization Technologies (ADPT) • Conducted a user study to answer key questions and determine metrics for eye tracking on mobile devices • Implemented an algorithm for dynamic eye tracker recalibration based on existing system interactions • Designed a system for pre-loading asynchronous content using interest prediction derived from gaze data • Demoed a proof-of-concept of intelligent UI element selection, leveraging gaze data and voice input • Created a reusable iOS launch daemon for study control and data collection in future studies within Apple • Developed a modular iOS gaze framework, facilitating the development of future gaze-powered experiences • Presented project findings to AI/ML organization executives and team leads with positive reception Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer
      • Jan 2020 - Mar 2020

      Menlo Park, California, United States • Led design and implementation of new system-wide interfaces and notification flows to enable relevancy- and permissions-based forwarding to a profile's assigned administrator roles for a major upcoming product release • Drove collaboration with multiple cross-functional teams to integrate seamlessly within existing infrastructure • Implemented both backend (Hack, GraphQL) and frontend (JavaScript), including API mocking functionality • Created an extensive suite of accompanying unit… Show more • Led design and implementation of new system-wide interfaces and notification flows to enable relevancy- and permissions-based forwarding to a profile's assigned administrator roles for a major upcoming product release • Drove collaboration with multiple cross-functional teams to integrate seamlessly within existing infrastructure • Implemented both backend (Hack, GraphQL) and frontend (JavaScript), including API mocking functionality • Created an extensive suite of accompanying unit and integration tests to confirm functionality • Worked with the QA team on performing a notification audit to ensure intended product behavior Show less

    • United States
    • Software Development
    • 1 - 100 Employee
    • SDE I - AI UX
      • Sep 2019 - Dec 2019

      Bellevue, Washington, United States

    • SDE
      • Jun 2019 - Sep 2019

      Bellevue, Washington, United States • Worked on developing SQL / Python transformation scripts and jobs to transform raw user telemetry data into high-level trip / destination / POI info for use in predictive machine learning models • Designed and implemented a Snowflake / AWS Kinesis pipeline to take processed telemetry data and determine user POIs via a reverse geocoding job running periodically on a Javascript Lambda • Developed a DBSCAN-esque MySQL clustering algorithm to aggregate user data into high-order… Show more • Worked on developing SQL / Python transformation scripts and jobs to transform raw user telemetry data into high-level trip / destination / POI info for use in predictive machine learning models • Designed and implemented a Snowflake / AWS Kinesis pipeline to take processed telemetry data and determine user POIs via a reverse geocoding job running periodically on a Javascript Lambda • Developed a DBSCAN-esque MySQL clustering algorithm to aggregate user data into high-order insights • Engineered an in-house tool to visualize user telemetry data using Vue JS, React JS, Mapbox GL, and Python Flask and deployed to AWS using Docker / Kubernetes • Gained expertise in other technologies including Terraform, Mixpanel, and more

    • Founder (Exited)
      • Aug 2016 - Jan 2019

      • Founded a platform for organizing, tracking, and reminding users of upcoming homework assignments • Sold to Haystack AI in 2019 after negotiating terms for acquisition • Upon acquisition: 338k installs, 63k MAU, 4.7 star rated, #1 global homework app, top-60 productivity app

    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Software Engineering
      • Jun 2018 - Sep 2018

      San Francisco, California, United States • Initiated and led a complete redesign of the iOS app, unifying and simplifying the company design language • Implemented a persistent rating system, increasing usage by 15% and enabling new performance metrics • Refreshed the in-app referral system to use Branch.io deep links, increasing key user acquisition metrics • Designed and programmed an in-trip zones interface, leading endpoint refactoring efforts to allow for warning users of potential fines that could be faced based on… Show more • Initiated and led a complete redesign of the iOS app, unifying and simplifying the company design language • Implemented a persistent rating system, increasing usage by 15% and enabling new performance metrics • Refreshed the in-app referral system to use Branch.io deep links, increasing key user acquisition metrics • Designed and programmed an in-trip zones interface, leading endpoint refactoring efforts to allow for warning users of potential fines that could be faced based on no-service and no-parking zones • Led design and implementation efforts of a backend-driven animated ‘how to ride’ screen, allowing for per-region rules and regulations and helping the government relations team meet per-city requirements • While working at Lime, company headcount and iOS ridership nearly doubled to over one million MAU Show less

    • United States
    • Software Development
    • 1 - 100 Employee
    • Engineering
      • Oct 2017 - Mar 2018

      Seattle, Washington, United States • Developed a card-based supplier database normalization app to assist in ML model training • Implemented an Auth0-based custom authentication system to mesh with existing sign in methods • Developed an accompanying Python Flask-based Google Cloud endpoints backend for on-the-fly changes to categorization parameters and cloud storage, processing of normalization results

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Software Engineering
      • Jul 2016 - Aug 2016

      San Francisco, California, United States • Assisted in the development of a public JavaScript API for use both internally and externally by third parties which eventually came to comprise Gigwalk’s primary source of business • Designed and programmed 100+ unit tests using during continuous integration to ensure public API stability

    • United States
    • Computer Hardware Manufacturing
    • 1 - 100 Employee
    • Product Design
      • Jul 2016 - Jul 2016

      Hang Zhou, China • Shadowed artificial intelligence, deep learning, and scripting development efforts • Assisted with app string translation (Mandarin Chinese, English) and multilingual product testing in preparation for launch in the United States

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Mobile Engineering
      • Jul 2015 - Jul 2015

      San Francisco, California, United States • Worked with chief mobile developer on feature scoping for enterprise iOS application • Developed new features for both iOS and Android mobile workforce management platforms

    • United States
    • Entertainment Providers
    • 700 & Above Employee
    • Development Intern
      • Jul 2012 - Jul 2012

      Redwood City, California, United States • Participated in orientation program introducing all stages of game development, testing and marketing • Worked in new product development group testing unreleased games

    • United States
    • Computer Games
    • 500 - 600 Employee
    • Development Intern
      • Jul 2012 - Jul 2012

      Los Angeles, California, United States • Worked with core development team providing in-depth early-stage testing and bug reporting • Shadowed all stages of the game development process

Education

  • University of Washington
    Bachelor of Science - BS, Computer Science
    2017 - 2021
  • Thomas Jefferson High School for Science and Technology
    2013 - 2017

Community

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