Ray Y.

Software Engineer

San Francisco, California, United States4 yrs 8 mos experience

Highly StableAI Enabled

Key Highlights

Expert in AI and Machine Learning solutions.
Proven track record in software development at top tech companies.
Strong foundation in both Computer Science and Statistics.

Stackforce AI infers this person is a Software Engineer specializing in AI and Web Development.

Contact

Skills

Core Skills

Machine LearningWeb DevelopmentBlockchain DevelopmentCloud ComputingDeep Learning

Other Skills

AI stuffcreator monetizationstarssubscriptionsmigration of API Key Servicecontent rankingrelevanceprotocolfull-node incentivesCelo blockchainingestionlookupAWS Cloudtrailcross-modal audio-visual generationunsupervised learning

About

Doublelift = G.O.A.T.

Experience

4 yrs 8 mos

Total Experience

3 yrs 9 mos

Average Tenure

11 mos

Current Experience

Rippling

Software Engineer

Jun 2025 – Present · 11 mos

AI stuff

AI stuffMachine Learning

Facebook

Software Engineer

Jul 2021 – Apr 2025 · 3 yrs 9 mos · Menlo Park, CA

creator monetization, specifically stars + subscriptions

creator monetizationstarssubscriptionsWeb Development

Confluent

Software Engineer Intern

Feb 2021 – May 2021 · 3 mos

migration of API Key Service

migration of API Key ServiceWeb Development

Facebook

Software Engineer Intern

May 2020 – Aug 2020 · 3 mos

content ranking and relevance for Explore page

content rankingrelevanceMachine Learning

Clabs

Software Engineer Intern

Mar 2020 – May 2020 · 2 mos

protocol (focusing on full-node incentives) for the Celo blockchain

protocolfull-node incentivesCelo blockchainBlockchain Development

Amazon

Software Development Engineer Intern

May 2019 – Aug 2019 · 3 mos · Greater Seattle Area

ingestion and lookup for AWS Cloudtrail

ingestionlookupAWS CloudtrailCloud Computing

Fx palo alto laboratory

Deep Learning Research + Software Engineer Intern

May 2018 – Dec 2018 · 7 mos · Palo Alto, California

Worked on developing unique and more eﬃcient system for cross-modal audio-visual generation, with an unsupervised learning approach (Paper attached below, published in IEEE ISM 2019 )

cross-modal audio-visual generationunsupervised learningDeep Learning