John Alparslan
Software Engineer at Snap Inc.
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJohn Alparslan is a software engineer with eight years of experience building AI-first, full-stack and cloud-native products, currently working on monetization and ads at Snap after engineering roles at Microsoft and SAP. He earned simultaneous BS degrees in Electrical and Computer Engineering and an MS in Computer Science from Drexel with a 3.97 GPA, completing a master's thesis on adversarial attacks and robustness in deep learning. John has shipped a wide variety of web and mobile projects—from real-time pair programming and influencer analytics platforms to decentralized NEAR blockchain apps and driver drowsiness PWAs—and has a strong track record of operational excellence (telemetry for 99.999% availability, automated incident workflows). As founder and president of Drexel Society of Artificial Intelligence, he mentors students and co-authors research, bridging academic rigor with product delivery. Based in Seattle, he combines deep ML research experience with practical cloud engineering skills across Azure, AWS and GCP, and often surfaces savings and reliability gains through automation and telemetry.
8 years of coding experience
8 years of employment as a software developer
Math & Science Track, Equivalent of French Baccalaureate, Class Rank: 4th, Math & Science Track, Equivalent of French Baccalaureate, Class Rank: 4th at Galatasaray LisesiMaster of Science, Computer Science, Master of Science, Computer Science at Drexel University
English, Turkish, French, Italian
Stackoverflow
1,387reputation
202kreached
22answers
8questions
heroku
top-1%
Github Skills (200)
mailchimp10
expressjs10
facebook-login10
heroku10
sketch10
calculator10
mongoose10
aws-ses10
video-processing10
computer-vision10
audio-processing10
sap-conversational-ai10
google-api10
express-session10
drawing9
Programming languages (10)
Github contributions (5)
ya332/PageRank
Sep 2019 - Jan 2021
Contributions:4 commits, 9 pushes, 1 branch in 1 year 4 months
drexelai/binary-search-in-neural-nets
Nov 2020 - Jan 2021
Drexel AI's Fall Term research project on efficiently searching for accurate neural net architectures
Contributions:14 reviews, 58 commits, 19 PRs in 2 months
architecturesfalldeep-learningneural-networksmachine-learning
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