I'm a software engineer focused on machine learning, backend systems, and performance tuning. I like solving and building products people actually use.

• Languages: Python, C++, Swift, JavaScript, SQL, HTML/CSS
• Frameworks & Libraries: Flask, React, SwiftUI, TensorFlow, scikit-learn
• Tools: MySQL, Git, Linux, Firebase
• Core Skills: Data Structures & Algorithms, System Design, applied ML, and keeping latency as low as possible.

A low-latency iOS app that listens in real-time to detect stuttering. I wrote a machine learning pipeline using Dynamic Time Warping (DTW) to align text and audio. It has high accuracy, runs entirely on the device for privacy, and has basically zero lag. Nobody likes waiting for their therapy app to buffer.

Swift On-Device ML Audio Processing Speech Recognition

An iOS utility that converts physical over-the-board chess games into digital PGN notation. It uses custom state machine logic to track moves and manage the clock down to the millisecond. It essentially makes sure you don't flag while looking for your queen.

Swift SwiftUI State Management

A 3D digital twin platform simulating city infrastructure. I built a Flask backend to take in massive datasets like traffic and air quality, rendering them on a CesiumJS 3D globe in real time. It is basically SimCity with real data.

Python Flask CesiumJS Data Visualization

An Android app for real-time human detection in rescue missions. It uses TensorFlow Lite for fast mobile inference and grabs precise GPS coordinates. Saving lives requires slightly more work than a basic hello world.

Kotlin YOLOv8 TensorFlow Lite

A collection of highly interactive web experiences inspired by neal.fun. I'm focusing on heavy DOM manipulation and optimized rendering to hit a smooth 60 frames per second.

JavaScript DOM Optimization CSS

Looking for software engineering opportunities to build scalable systems and write code that doesn't wake me up at 3 AM.