I build at the intersection of Machine Learning, Cloud Computing, App development, and Finance.
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I'm a UChicago CS student specializing in ML. I design cross-platform products with Kotlin and Compose Multiplatform, expose typed APIs with Ktor on AWS, and keep data fast and reliable using MongoDB Atlas in the cloud and Room/SQLDelight locally.
I value continuous learning, clear communication, and building things that are easy to maintain. I use clean architecture and solid error handling to keep apps smooth and reliable across platforms.
I bring a thoughtful, and collaborative style โ and yes, the occasional joke to keep momentum high.
NB: I ship in parallel โ Iโve got a twin.
Contact MeKotlin, Compose Multiplatform, MVVM, Koin DI, Room & SQLDelight
AWS Elastic Beanstalk, Route 53 (DNS), ACM (TLS), GitHub Actions (CI/CD)
TensorFlow, Scikit-learn, NumPy, Pandas
Ktor, MongoDB Atlas, Firebase Firestore, PostgreSQL, SQLite (Room/SQLDelight)
React, HTML/CSS, JavaScript
Git, Gradle, Android Studio, Postman
Advanced Stock Trading, ML, DSA, KMP Masterclass, Full-Stack Compose & KMP, PostgreSQL, Ktor for Backend & Jetpack Compose, Foundations of Stock Trading
AWS, Advanced Stock Trading
An end to end paper trading platform equipped with technical indicators, backtest, order and risk managers, and ML prediction features.
REST API for quiz content with typed routes and JSON DTOs; handles CRUD of data for MyQuiz app.
Compose quiz client with clean MVVM architecture, offline Room db, and a clean results view.
A multiplatform news reader with shared business logic, SQLDelight database, and thin UI shells.
Thumbnail displays app running as a desktop window.
Android prototype for a socio-professional community: clean Views UI, deep-link notifications, and Firestore-backed data with a single-activity navigation flow.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.
Chicago, IL