Agentic AI Engineer who also ships Backend APIs
I’m Syed Sartaj Ahmed — I design LLM-powered, tool-using assistants and production RAG systems, then ship them on multi-tenant SaaS in TypeScript/Node.js and React, with Python for data & ML. One engineer, five ways to read the resume.
I lead with Agentic AI — but the same work reads as backend, full-stack, or ML depending on where you look. Pick a lens.
Designs LLM-powered, tool-using assistants and production RAG systems — embeddings, semantic / vector search, and event-driven automation — grounded and safe by design.
Builds reliable REST APIs and event-driven services for multi-tenant SaaS — secure auth, idempotent payment / e-invoicing integrations, and containerized cloud deployment.
Ships web and mobile products end-to-end with React, Next.js, Node.js / Express and TypeScript across admin and storefront frontends on a SaaS backend.
Pairs a Python backend (FastAPI / Flask) with React frontends to deliver data-driven apps, plus ML / data pipelines and platform automation scripts.
Works across the ML lifecycle — data prep, model building and evaluation — and deploys ML / GenAI features (RAG, embeddings, vector search) into real products.
Multi-tenant SaaS commerce platform. I built the in-app AI Assistant (RAG + pgvector), routed all invoicing through one auditable issuance chokepoint, and integrated four payment gateways with server-side reconciliation.
Mobile & tablet app for school administration with an ML model that predicts student marks from performance and attendance.
Tablet-optimized restaurant billing app with offline support via SQLite and cloud sync through Azure SQL Server.
Community-management app with property tracking, receipts, and an integrated payment portal, on Firebase real-time data & auth.
Open to Agentic AI, backend, full-stack and ML roles — in Abu Dhabi, across the UAE, or remote.