Looking for a job

Hey I am Abdullah

@heyiamabdullah

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I build cloud-native full-stack AI products, agentic workflows, and high-throughput distributed systems.

Pakistan

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What I'm looking for

I’m seeking opportunities to build intelligent, high-performance products where I can apply full-stack, cloud-native, distributed-systems, and AI/ML engineering to deliver measurable business impact.

At LUMS, I lead engineering for a multi-platform healthcare solution spanning web, mobile, and a voice-first WhatsApp bot. I built an async FastAPI and ARQ processing layer that cut message latency from four minutes to 20 seconds and reduced AI cost per patient from $26 to $14.

Previously at Ensan AI and StartX Innovation, I built scalable AI, backend, and frontend systems across AWS and GCP. I’ve delivered agentic AI and RAG workflows, 99.99% uptime services, reusable React architectures, and infrastructure improvements that reduced costs, latency, and delivery time.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer / Team Lead

Current

LUMS

Jul 2025 - Present (1 year 2 months)

Led end-to-end system design for a multi-platform healthcare solution, including web, mobile, and a voice-first WhatsApp bot. Engineered high-throughput async processing and Agentic AI workflows, reducing message latency and AI costs.

Hono PostgreSQL fastAPI Arq Agentic AI RAG DevOps Sentry Loki Cloud Infrastructure

Senior Software Engineer / AI/ML Engineer

Ensan AI

Aug 2023 - Jul 2025 (1 year 11 months)

Architected production-grade Agentic AI workflows and autonomous scheduling agents using FastAPI, LangChain, and LangGraph. Engineered highly available backend systems and advanced RAG pipelines, achieving high uptime and significant cost reductions.

fastAPI Lang Chain LangGraph NestJS AWS GCP Qdrant React Next.js React Native Expo Angular Docker CI CD Sentry Loki AWS IVS

MERN Stack Developer

StartX Innovation

Sep 2020 - Jul 2023 (2 years 10 months)

Engineered and deployed high-performance full-stack systems on AWS and GCP, expanding beyond the MERN stack to include FastAPI and Django backends. Integrated early LLM-driven capabilities and resolved performance bottlenecks.