AI Engineer shipping end-to-end systems — RAG pipelines, agentic workflows, and LLM guardrails on cloud-native foundations.
Natural language to SQL with schema-validation guardrails. Reduced ad-hoc data tickets by 60%.
On-premise document search with local LLMs. Zero external data leakage across 500+ documents.
Automated collection and normalization pipeline. 10,000+ records weekly, zero manual scraping.
Full-stack engineer turned AI systems builder. Three years shipping .NET and MERN applications, now focused on production-grade AI — RAG pipelines, agent orchestration, and LLM guardrails that actually hold up under enterprise scrutiny.
Recently eliminated 20+ hours of manual reporting per cycle with an event-driven document pipeline, cut Azure OpenAI costs by 30%, and enforced strict data governance upstream. The goal is always the same: make the complex disappear.
“The best code is the code you don't write.”— Adeeb Waiz