Executive Summary
Production AI inference system and OpenCV computer vision pipeline for predictive heatmaps, attention hotspots, and eye-tracking simulations serving 4,000+ active users across Figma and Chrome.
The Operational Friction
Production AI workflows often suffer from vendor lock-in, latency bottlenecks, and subjective UI review iterations lacking empirical visual attention data.
System Architecture & Engineering Solution
As a Software Engineer at ClarityUX, architected a multi-provider inference system integrating Gemini, Claude, Groq, and OpenAI alongside OpenCV/FastAPI computer vision pipelines for predictive heatmaps, attention hotspots, and eye-path simulations across Figma plugins, Chrome extension, and Next.js platforms. Shipped production Conversational AI systems, Generative AI workflows, and real-time user feedback systems.
Measurable Impact & Production Results
- 40% reduction in UX analysis turnaround time
- Serving 4,000+ active users globally across Figma & Chrome
- Engineered Conversational AI assistants & Generative AI UI synthesis features
- Built real-time user feedback system for continuous UX evaluation & iteration
- 30% reduction in backend bottlenecks with Node.js inference pipeline