Building high-performance web applications and AI-driven systems
with React, Next.js, Node.js & TypeScript.
I am a Full Stack Developer & Applied AI Engineer passionate about shipping reliable, high-performance web products. At DocNow EHR, I architected end-to-end web applications and integrated production AI pipelines (LLM function calling, semantic search, and vector indexing).
Specializing in Next.js, Node.js, TypeScript, PostgreSQL & AWS, I focus on writing clean, scalable code and delivering seamless user experiences.
Architected scalable full-stack applications using Next.js & NestJS, delivering 99.9% uptime for client web systems.
Integrated production AI workflows (LLM function calling, semantic search, vector indexing), cutting context retrieval latency by 40%.
Optimized frontend and backend code, reducing page load times by ~30% and dropping p95 response latency below 150ms.
Engineered secure REST APIs for 10+ third-party integrations & automated CI/CD pipelines, reducing manual deployment time by 50%.
Camera-first mobile app that snaps a meal photo and lets multimodal AI estimate calories, protein, carbs, and fat with an itemized per-item breakdown, pairing Gemini vision with USDA nutrition data.
Scroll-driven single-page experience rendering a real-proportioned soda can in react-three-fiber with 4K PBR textures, runtime flavor swapping, and a guarded WebGL fallback.
Autonomous SEO pipeline that turns a single keyword into a publish-ready package: a structured, SEO-optimized blog post plus ready-to-post LinkedIn and X copy, generated by a two-stage Gemini pipeline.
Next.js web application integrating AI workflows (LLM function calling, semantic search, vector indexing) with context state management.
Available for Forward Deployed Engineering, Full-Stack Development, and Applied AI roles.