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Lead a team of AI engineers building a multi-channel AI agent platform on AWS, architected with Amazon Bedrock AgentCore, ECR, Lambda, and API Gateway. Secured $25K in AWS credits to fund infrastructure.

Technical liaison facilitating knowledge exchange between Pakistani engineering stakeholders and the Global Robot Cluster network.

Established and led an AI engineering team, owning the full model lifecycle and defining engineering practices. Developed a POC for an Amazon Campaign Management System and reverse engineered a Fabric AI Inspection Machine for automated quality assurance.

Led end-to-end engineering of an enterprise RAG system with a ReAct agent chatbot for the Ministry of Tourism Saudi Arabia, integrating LangChain, LangGraph, Neo4j, and Azure AI Foundry. Established MLOps and LLMOps pipelines and deployed AI-powered FastAPI microservices serving 1,000+ internal users.

Deployed Arabic LLMs on distributed GPU clusters using Azure ML and optimized inference pipelines. Designed time-series forecasting models on Azure Databricks for Estee Lauder, achieving a 15% increase in forecast accuracy, and developed Power BI dashboards for executive decision-making.

Collaborated with research teams to deploy customer-agent pairing models, contributing to a 12% revenue increase for enterprise clients. Managed migration of data pipelines to GreenPlum and optimized SQL queries and ETL scripts, reducing processing runtime by over 5 hours.

Led technical development of AI-based educational robotics kits, managing the full hardware-software lifecycle from ideation to mass production. Deployed educational technology solutions to over 40,000 users across Pakistan.

Pursued a Master of Science in Computer Science at the Institute of Business Administration, Karachi, from 2016 to 2019.

Earned a Bachelor of Engineering in Electrical Engineering from the National University of Sciences and Technology, Karachi, from 2011 to 2015.