Guy Morita
Senior Software Engineer at Datadog
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolGuy Morita is a senior software engineer and founder with 12 years of experience designing high-scale distributed systems, search infrastructure, and event processing. He led architecture and delivery of Cash App’s largest search platform—handling 300K+ events/second across 175B+ records with sub-200ms P99 latency—and created cost-optimizations that saved $500K+ annually. Guy also founded Reiden AI, a macOS productivity app that reached #5 on Product Hunt and runs a dual real-time ML inference pipeline serving 200K+ inferences/day with sub-50ms P99 latency and 98% accuracy. His background includes building high-throughput fraud and accumulator systems at a crypto exchange, developer tooling and DevOps at CodePath, and a Node.js/Redis collaborative filtering recommender published as an NPM-style project. Based in New York, he blends hands-on implementation with technical leadership, blue/green deployment and sharding expertise, and a knack for turning research-grade ML into production-grade services.
12 years of coding experience
6 years of employment as a software developer
BA, Finance, Information Systems, BA, Finance, Information Systems at University of WashingtonSummer 2015, Summer 2015 at Y Combinator
Stackoverflow
19reputation
2kreached
3answers
2questions
Github Skills (18)
algorithms10
javascript10
recommendation-engine10
back-end-development10
apidoc10
redis10
collaborative-filtering10
api10
nodejs10
internet-explorer6
ethereum6
browser-cache6
blockchain6
css6
bitcoin6
Programming languages (6)
Github contributions (5)
guymorita/recommendationRaccoon
Jul 2013 - Aug 2018
A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity between users and k-nearest-neighbors to create recommendations. This module is useful for anyone with a database of users, a database of products/movies/items and the desire to give their users the ability to like/dislike and receive recommendations.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:146 commits, 8 PRs, 29 pushes in 5 years 1 month
Contributions summary:Guy implemented and refined a collaborative filtering recommendation engine using Node.js and Redis. Their contributions included adding functionality for retrieving top similar users, building API routes, and implementing the core Jaccard coefficient for calculating user similarity. The user's work also encompassed refactoring the codebase, optimizing the algorithms, and integrating the recommendation engine with a data import process.
moviesabilitynpm-moduleon-topdetermine
mervynteo/hatch
Aug 2013 - Sep 2013
Contributions:86 commits in 14 days
wrappedios-nativeiosgeolocationtakes
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.