Hi there! My name is Zuhayer and I'm a software engineer at Stripe. I'm located in New York City and am always looking to connect and expand my network! I love watching soccer, going thrifting/shopping, and trying different types of coffee and beers.
- Collaborated with product/solutions teams to design and migrate toward common schemas and pipeline processes to replace isolated client implementations, unifying the product to scale to more clients.
- Designed and implemented offline pipeline changes to serve data for the first Medicaid program launch at Nuna (~900k patients), powering the same capabilities for Commercial programs.
- Designed and built a system for users to update physician eligibility in-app instead of by monthly file submission, the first system at Nuna to process user submitted changes. Eliminated manual processing and saved hours a month by connecting these UI changes to offline data processes.
- Automated and connected critical client data processes using Prefect. Learned and worked with Terraform to handle PHI/authentication permissions
- Mentored an intern on designing a data structure and system that can compute dozens of “Makary Measures” efficiently, which are metrics for identifying overtreatment/low value care.
- Built configurable pipelines and implemented business logic that allows multiple clients to attribution patients to physicians; impacting an estimated ~16 million patients across the country.
- Collaborated with data analysts to implement data enrichments crucial to value based care.
- Implemented a ‘sunset policy’ data flow to unsubscribe with historically non-engaged users
- Unsubscribed millions of non-engaged/spam/malicious email addresses and increased engagement rate, revenue, and reputation with email service providers
I tought Python and computer science fundamentals to CMU students that have little to no background in programming. Starting from the basic principles of computer science, I guide students in designing, developing, and publishing efficient algorithms through interactive recitations and office hours.
Developed ‘Lifecycle Management as a Service’ (LaaS), a tool that automates patching/upgrading of VMware products and services. Utilized Python/Flask backend with an Angular frontend.
May 2020
My team and I built a model that analyzes a user’s entire Spotify collection, generates a classifier based on the audio features of the entire collection, and recommends brand new music every Friday. Check out our report here.
Utilized Python, scikit-learn, pandas, and Spotipy (Spotify python library).
Built a stock predictor using machine learning (predicted 3M Stock using an SVM model), sentiment analysis, and Nasdaq’s Data-On-Demand API.
Utilized Python and TensorFlow.Built a web-application that generated relationship insights based on FB Messages (response time, sentiment, etc.) Parsed through millions of messages.
Utilized Utilized Python, NLP libraries, Node, and Flask.