LLM integration
Claude, ChatGPT, and Gemini wired into existing apps, with streaming responses, tool calls, and sensible cost controls.
Old-school craft, modern AI tooling
Every product starts as a rough idea and ends as something people quietly depend on. I work that whole distance, from shaping the concept to building it properly, then staying for the unglamorous part that keeps it worth returning to.
Full-cycle orchestration
I put language models into products that already have users, along with the retrieval, tooling, and guardrails that keep them useful once real traffic arrives.
Claude, ChatGPT, and Gemini wired into existing apps, with streaming responses, tool calls, and sensible cost controls.
Document ingestion, embeddings, and vector search so answers are grounded in your own data instead of guesswork.
Private LLM setups for teams whose data cannot leave their own infrastructure, sized to the hardware you actually have.
Multi-step agents that call your APIs and move real work forward, with evaluation loops to keep them honest.
Delivering standout fintech, marketplace, and creative products, each designed to showcase tangible performance gains.
React storefront wired to a Node.js core, delivering multi-region inventory sync and full-stack performance budgets.
React Native command center focused on buttery-smooth interactions, quick load times, and reliable offline moments.
Agile + Scrum coaching toolkit that keeps sprint rituals, burndowns, and stakeholder updates concise across distributed teams.
Friendly landing pages, on-brand campaigns, and clear reporting loops for every launch.