Usman Mahmood

Architect production-grade AI systems on AWS and Azure, specializing in autonomous voice agents on Amazon Connect using Nova Sonic speech-to-speech, Q in Connect, and Bedrock AgentCore. Design MCP servers and AgentCore Gateways to interface LLMs with AWS Lambda, REST APIs, and external tools, integrating Azure services and Power Platform for cross-cloud automation.

Architected autonomous AI workflows for lead conversion, voice agents, and interactive chatbots with self-learning sentiment analysis, integrating 10+ third-party ecosystems across AWS and Azure. Built scalable microservices and data pipelines using Apache Spark, Kafka, and Cassandra, and engineered large-scale web scrapers for real-time market data.

Engineered high-performance backend microservices using FastAPI, Node.js, Express.js, and Flask across MongoDB, MySQL, and PostgreSQL databases with modular MVC architecture. Integrated RESTful APIs with OpenAI and Claude AI, implemented OAuth 2.0 authentication, and deployed cloud applications on AWS infrastructure.

Bachelor of Science in Software Engineering from the University of Central Punjab, Lahore, Pakistan, from February 2019 to August 2023.

Higher Secondary School Certificate (F.Sc. Pre-Engineering) from September 2016 to September 2018.

Completed advanced topics in Model Context Protocol.

Completed a Machine Learning Specialization.

Completed a Machine Learning Specialization.

Completed the Samsung Innovation Campus AI Bootcamp.

Completed the Python - Data Science & Machine Learning A-Z course.

Completed the AWS DevOps Specialization.

Completed the AWS Cloud Solution Architect Prep.

Completed the AWS Core Architecture: EC2, IAM, Route 53 course.

Completed the Google Cloud Innovator Community Specialist certification.

Completed the IBM Backend Development Professional Certificate.

Completed the Advanced Foundations of Python Programming course.

Completed the Agile Development & Scrum certification.