Recruiter Snapshot

A concise view of how I build AI products, ship them to production, and support business outcomes.

Core strength AI product delivery LLM apps, RAG, prompt workflows, and applied NLP built for real use cases.

Production focus Reliable systems Backend services, APIs, and deployment pipelines that support production AI.

Delivery style Clear, end-to-end execution From prototype to rollout, with strong ownership across product, engineering, and cloud.

🤖

Best for roles needing AI product thinking

Builds LLM-driven systems, retrieval pipelines, and applied NLP solutions with a focus on practical outcomes and reliable user experiences.

NLP Deep Learning LLM Prompt Eng RAG Transformers

⚙️

Best for agentic / RAG roles

Ships retrieval-augmented and agentic systems using production-friendly frameworks and custom orchestration patterns.

LangChain LlamaIndex Crew AI MCP Server

🔧

Best for production engineering roles

Builds reliable backend services, APIs, and deployment-ready components that make AI products stable and scalable.

Python FastAPI

🎨

Best for stakeholder-facing prototypes

Creates clean dashboards and rapid prototypes that help teams review product ideas, demos, and operational insights quickly.

React JS Streamlit

☁️

Best for deployment and scale

Handles deployment automation, containerization, and cloud setup so prototypes can move into stable, repeatable workflows.

Docker CI/CD Azure Git

My Skills