AI EngineerEnd-to-endProducts

Models and features users touch: RAG, LLM APIs, agents, evals, and guardrails, with monitoring and safe rollouts so shipping stays predictable.

One owner from scope to launch: web and mobile, data, auth, payments, and the deployment story — containers, CI/CD, and observability so AI workloads behave in production.

Pipelines that do the work instead of five SaaS tools: data scraping and enrichment, LLM-based scoring and classification, automated actions with human-in-the-loop approval, and tracking — custom-built and production-deployed.

React Native for iOS and Android: store-ready builds, native UX patterns, and APIs wired to your product, whether mobile-first or alongside the web.

I design and deploy AI agents that handle multi-step tasks autonomously, from data pipelines to automated decision-making workflows. Claude acts as an orchestrator, breaking down complex goals into executable subtasks.

My primary dev environment pairs Cursor IDE with Claude Sonnet, enabling a fast, iterative development cycle driven by natural language. I focus on architecture and product decisions while AI handles boilerplate, refactoring, and code review in real time.

Effective AI output starts with precise input. I apply structured prompting techniques: chain-of-thought, few-shot examples, role framing, and XML-tagged context to get consistent, production-ready results from frontier models.

I work with Model Context Protocol (MCP) to connect Claude to external tools, APIs, and data sources, enabling AI workflows that interact with real systems rather than operating in isolation.