Lead Architect & Developer (Freelance) | July 2026 – Present
Built visual AST strategy builder (React Flow) that compiles JSON logic into native Java Predicate trees evaluated in microseconds.
Engineered sub-millisecond bidirectional gRPC bridge between Spring WebFlux and MetaTrader 5.
Designed zero-allocation RingBuffer cache and Cold-to-Hot stream aggregator to eliminate GC pauses under high-frequency ticks.
34 tested API endpoints that AI agents can discover and pay for per request in USDC, with no accounts or API keys. It includes a paid MCP server, marketplace listings generated from real outputs, SSRF-safe fetching, and 19 Apify Actors that offer bulk versions of the endpoints.
16:3 Studio is my independent software studio website, designed and developed from the ground up to showcase selected work, services, and my approach to building digital products.
The site combines an editorial-inspired visual system with a clean, structured layout, subtle interactions, and responsive design. I focused on creating a distinct studio identity while keeping the experience fast, accessible, and easy to navigate across devices.
Built with Next.js, TypeScript, Tailwind CSS, and Framer Motion, with an emphasis on reusable components, performance, responsive behavior, and polished frontend details.
My role: Design, Frontend Development & Engineering
The studio site has a clear way to show both the work and how you build it. I like that you kept the motion subtle. Did you have to make any tradeoffs to keep it fast on mobile?
AI Property Maintenance Automation
AI-powered property maintenance automation designed to streamline how property management teams handle tenant maintenance requests.
The system takes a maintenance request, analyzes the issue, determines its priority and category, recommends a suitable vendor, and automatically creates a structured work order.
Workflow:
Tenant request → AI analysis → Priority & category → Vendor matching → Work order
Built with: Python, Flask, SQLite, HTML, CSS, JavaScript, and AI-assisted request classification.
This project was built as a portfolio demonstration of AI automation for property management operations.