Chappy Asel Email & Phone Number

San Francisco, CA, US

Los Angeles, California, US

Redefining social capital allocation with the same precision and scalability that finance brought to capital markets.

The US’s largest AI community: 25,000+ founders, researchers, operators, and investors built around a shared curiosity for AI. Through incredible in-person events and vibrant online forums, members leverage their diverse perspectives and innovative minds to foster meaningful relationships, solve challenging problems, and define the future of AI.

San Francisco, California, US

The future of value creation in an AI-based economy. Backed by AI Grant, Neo, Madrona, etc.

San Francisco, California, US

• 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

Cupertino, California, US

• Built and demoed initial prototypes of agentic, multimodal Apple Intelligence
• Led API design, review, and refactoring efforts of new cross-platform App Intents framework
• Contributed to highly collaborative, cross-functional design meetings with VPG, SWE, AI/ML, Siri, etc.
• Hosted developer Q&A and one-on-one consulting sessions at WWDC 2022 after initial public release
• Worked on AR/VR UI frameworks team in preparation for release of the Apple Vision Pro at WWDC 2023
• Many more projects which I can't talk about yet...

Austin, Texas, US

• Lead fitness instructor coaching weekly HIIT classes with 20+ participants

Cambridge, MA, US

• 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

Cupertino, California, US

• 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

Menlo Park, CA, US

• 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

Bellevue, WA, US

Bellevue, WA, US

• 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

• 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

San Francisco, California, US

• 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

Seattle, WA, US

• 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

San Francisco, CA, US

• 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

Redwood City, California, US

• 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

San Francisco, CA, US

• Worked with chief mobile developer on feature scoping for enterprise iOS application
• Developed new features for both iOS and Android mobile workforce management platforms

Redwood City, CA, US

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

San Fernando Valley, California, US

• Worked with core development team providing in-depth early-stage testing and bug reporting
• Shadowed all stages of the game development process

Bachelor Of Science - Bs, Computer Science

Education record