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Work Experience
Founder, Designer and Developer
Authentique, Inc.•  February 2018 - April 2020
Created IG Audit, a free Instagram audience verification service. Raised $400k seed, reached 2.3M+ organic users. - Go backend on AWS - Capable of 1000+ RPS with minimal cost. - 30kb PWA on CloudFront - served 300K+ MAUs for about $7/month. - > 500% organic growth from Jan-Aug 2018 (60K to 320K MAUs) - Site worth ~$726K at end of 2019 (urlrate.com, webuka.com) - Organic press in Wired, BBC, Vice, Yahoo News and HypeBeast.
Technical Consultant
Yale Center for Emotional Intelligence•  May 2017 - June 2018
Helped lead product design and development of Mood Meter, an emotional awareness + regulation app for elementary school children. - Met with director monthly. Iterated on prototypes to refine product vision and secure funding. - Developed MySQL models. Created high-throughput data pipeline.
Lead Backend Developer
Hooked•  August 2017 - February 2018
Led backend development and optimization for Hooked, a mobile app that reaches 100 million Gen Z viewers. It has reached #1 on the App Store and Google Play in over 25 countries. - Reduced average read latency for 50k+ simultaneous users by 40%, improved security, introduced unit testing framework. - Designed and developed an iOS subscription visualization tool for global user retention, LTV, and revenue reporting + projection.
Full-Stack Developer
Snapchat•  May 2016 - May 2017
I built an inventory tool with 2 other engineers to manage $100M+ in annual Geofilter+Lens Ad sales. - Created inventory auto-expiration: increased sell-through rate of Direct-Sold Inventory by 10%. - Query optimization: reduced p90 read latency by 90%. - Met with Sales to define and prioritize feature roadmap. - Interviewed 75 engineers - led to hiring of 15-20. Trained 4 interviewers.
Co-Founder and Lead Developer
Dap'd, Inc.•  March 2015 - January 2016
My first startup experience - I created an ephemeral, anonymous, uplifting, global iOS application. - NodeJS, MongoDB, and Redis on backend; Objective-C frontend. - Increased onboarding funnel completion by 30% using Mixpanel. - Built implicit reputation engine to foster a self-regulating community.
Software Engineering Intern
Facebook•  June 2014 - September 2014
Enhanced a machine learning model for the Feed Ads team that produced $35M/day in ad revenue. Used C++ and Python. - Exposed users to low ranked ads to create more robust training data.
Risk Technology Analyst Intern
Bank of America•  June 2013 - September 2013
Coded investment risk data integration platform in Python. - Sanitized 3rd party data for investment risk models and visualization.
Programmer/Analyst Intern
Jet Propulsion Laboratory / NASA•  June 2012 - September 2012
Analyzed and optimized Deep Space Network protocols in interplanetary systems for NASA. - Python: simulated+optimized Mars rover network latency and quality of satellites in response to varying network conditions
Education
California Institute of Technology
Computer Science, BS•  September 2011 - June 2015
- CS: Decidability, Algorithms, Computing Systems, Neural Computation, Databases, Quantum Computation, ML, Data Mining - Math: Applied Complex Analysis, Diff EQs, Probability and Stats, Stochastic Processes - Physics: Classical Mechanics, E&M, Waves, Quantum, Statistical Mechanics - Athletics: Varsity basketball 4 years (Captain 2 years)
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