Edward Doubovik

I am a high school student focused on computer science, mathematics, and engineering. I am currently aspiring towards majoring in computer science, with interests in machine learning, quantitative finance, and bioengineering.

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Key Recognition

First Place, Medical and Health Sciences • CT STEM Fair May 2026

Awarded top honors for creating an AI pipeline that would recognize and correct wrist rehabilitation exercises within 0.08 seconds with 91% accuracy.
Tech Podcast Host & Producer Active

Hosting and producing episodes discussing emerging technology, artificial intelligence, software engineering, and industry trends.

Selected Projects

Physical Therapy Computer Vision Rehabilitation System Winner
Python / ML

The core processing engine behind the CT STEM project. Coordinates joint spatial positioning vectors dynamically via specialized image arrays. Achieved 91% accuracy within 0.08 seconds.
Stroke Survivor Wrist Rehabilitation using Haptic Feedback In Progress
Python / C++

Expanding access to therapy by combining haptic feedback and IMU sensors to give real-time feedback on wrist exercise performance.
Whiteboard Tutor In Progress
TSX / Rust

Developing a web version and a desktop version of a whiteboard tutor where you can write out any problem and it shows you how to solve it step by step, drawing the pictures and diagrams along the way.
Wharton Youth Investment Competition Model In Progress
Python

Working with one of my school teams to create a prediction model for the Wharton Youth Investment Competition using quant scores and Monte Carlo simulation.
Clipboard+ Frozen
Rust / TypeScript

Built a private, local-first Windows clipboard manager that captures text changes, coalesces duplicate entries via SHA-256 hashing, and indexes history in SQLite for instant full-text search.

Features: Tauri 2 command palette; hotkey trigger (Ctrl+Shift+V); zero network telemetry
Future Recession Macroeconomic Forecast Model Python / ML

Developed a system that would look at unemployment, CPI, yields, consumer confidence, industrial production, and other recession indicators and then predict the chance of a recession in the next six months.

Metrics: Precision-Recall curve; Sahm Rule indicator chart

Edward Doubovik

Key Recognition

Selected Projects

Technical Skills