Most AI projects fail the same way. A prototype impresses in a demo, then collapses under real traffic, real edge cases, and real costs. I am the engineer you bring in before that happens.
I have shipped real-time adversarial AI platforms, RAG-powered engines with natural language control, automated billing systems with tiered access and credit workflows, and media pipelines that cut asset turnaround by 80 percent. Every system I build is designed to reduce your inference costs, cut manual effort, and scale without rewrites.
I work across the full stack: Python, FastAPI, LangChain, LLM orchestration, Pinecone, PostgreSQL, Redis, and Next.js. I do not just write code. I make architectural decisions that save you money at scale through smarter caching, leaner prompts, async queues, and pipelines that do not break under pressure.
You get one engineer who owns the outcome end to end. No handoffs. No gaps between frontend, backend, and AI layers. Faster delivery, lower overhead, and a system built to last.