Productize AI & GenAI Solutions: Build the backends, agent/RAG infrastructure, MCP servers, and LLM-serving layers that turn models, prompts, and pipelines into reliable, observable production products.
Design & Build Production APIs: Architect and maintain endpoints and GraphQL APIs, defining schema, resolver, and authentication patterns that serve frontend applications, internal services, and AI features.
Integrate Data & AI Pipelines: Develop ingestion, parsing, OCR, and vendor-LLM integrations (OpenAI, Gemini, Anthropic) with strong attention to concurrency, async processing, retries, idempotency, and state-machine workflows.
Operate in Production: Partner with MLOps on Docker, Terraform, and Azure DevOps CI/CD; establish performance baselines and observability for both APIs and AI workloads; optimize for latency, throughput, and cost.