Dmitry Borody

A comprehensive web-based pattern editor for cross-stitch, designed to serve an underserved market of 50,000+ active stitchers. As a solo founder, I built and handled everything from market research and product design to full-stack implementation.

It features 100+ tools, including advanced pattern editing, intelligent color management, multi-format import/export (PDF, PNG, proprietary formats), thread palette management with DMC/Anchor catalogs, pattern optimization algorithms, and high-resolution exports.

Technical Highlights:

• Custom Canvas2D rendering engine optimized for patterns with 50,000+ stitches, maintaining 60fps during real-time editing
• Complex algorithms for color reduction, pattern cleanup, and intelligent stitch placement
• Full-stack: React/TypeScript front-end with Next.js, Node.js back end, PostgreSQL database
• Sophisticated state management handling complex undo/redo across multiple editing contexts

I conducted a competitive analysis, identifying a $X revenue opportunity over three years. The project is approximately 80% complete with core editor, import, and export modules production-ready.

An online contest platform for high-frequency trading strategies simulated on real historical data. Attracted 1,000+ participants (primarily university students) over a 2-month competition, creating a talent pipeline for the company's quantitative analyst pool.

Participants implement trading strategies in C++ or Python, run simulations locally with the provided SDK, or schedule cluster execution via the web interface.

The platform visualizes trading behavior, compares performance metrics, and exports data for analysis.

Technical Highlights:

• Architected complete microservice infrastructure as sole developer—simulation node pool, message queues (RabbitMQ), storage layer, API design
• Built a scalable cluster system handling concurrent strategy simulations on historical market data
• Developed web front-end (Django/Flask, JavaScript) for launching simulations, visualizing results, and comparing approaches
• Established CI/CD pipelines, monitoring (Prometheus, Grafana, Graylog), and infrastructure automation
• Designed SDK for local strategy development and debugging

After the initial solo development, I scaled the team to three engineers while maintaining architectural ownership.

An online tool for generating customizable word art designs with intelligent layout algorithms. Users select shapes, input text, customize fonts and colors, and the app fills the shape with optimally-placed words, creating aesthetically balanced designs. Export as high-resolution images or SVG for printing.

Built as a solo developer to explore high-performance web technologies and complex layout algorithms.

Technical Highlights:

• Rust + WebAssembly core engine for near-native performance in the browser
• Custom packing algorithms for optimal word placement within arbitrary shapes
• Real-time rendering and layout updates at 60fps
• Full-stack architecture: React/TypeScript front-end, NestJS API, PostgreSQL back end
• SVG generation engine for vector output suitable for professional printing

Comprehensive rewrite of legacy AngularJS application to modern React stack for US court reporters, handling invoice management, payment processing, case tracking, and professional networking.

The client needed a modern, scalable replacement for the Stamplay-based legacy app.

Delivered a complete technical overhaul as the sole developer with full ownership of architecture, infrastructure, and feature expansion.

Technical Highlights:

• Architected and deployed AWS infrastructure independently—staging environments, monitoring (Metabase), error tracking (TrackJS), load testing
• Implemented Stripe payment processing, Google OAuth, role-based access control, and real-time notifications
• Migrated existing users and data with zero downtime
• Built admin UI for simplified maintenance and support
• Delivered production-ready application meeting all client requirements with minimal oversight

High-performance web-based instrument tuner using advanced audio processing algorithms for real-time pitch detection. Built to deliver professional-grade accuracy comparable to native apps, running entirely in the browser.

Technical Highlights:

• Rust + WebAssembly audio processing core achieving sub-10ms latency for pitch detection
• Custom autocorrelation algorithms optimized for musical instrument frequencies (20-4000 Hz range)
• Real-time audio analysis using Web Audio API with 60fps visual feedback on HTML Canvas
• Handles noisy input environments with advanced filtering and noise reduction
• Internationalized interface (English, Russian) built with Gatsby for optimal performance
• Zero installation required—instant access via browser with near-native performance

Designed as a solo developer to explore high-performance audio processing in web environments and demonstrate that browser-based tools can match native application quality.