Muhammad Hamza

I’m Muhammad Hamza, a Senior Software Engineer and Agentic AI Engineer with 4 years of professional experience building scalable, production-grade systems across web, backend, cloud, and AI domains. Throughout my career, I’ve worked with startups and established companies, delivering high-impact projects that blend clean engineering with cutting-edge AI capabilities.

On the full-stack side, I have strong expertise in React, Next.js, Go, Python and Node.js, along with solid DevOps and cloud-native skills using Kubernetes, Terraform, Docker, AWS, and GCP. My experience includes architecting microservices, designing event-driven systems, building modern frontend architectures, and setting up automated CI/CD pipelines for smooth deployments.

I’ve held key engineering roles at several companies:

• Stealth Startup (2024 – Present) — Senior Software Engineer, architecting agentic microservices using Go and Python, implementing event-driven patterns with Kafka, and building scalable CI/CD pipelines with Kubernetes and ArgoCD.
• Septem Systems (2023 – 2024) — Senior Software Engineer, developing enterprise applications with React and TypeScript, backend services with Node.js/Nest.js, and automated cloud deployments.
• Devsinc (2022 – 2023) — Software Engineer, leading React + Python projects, implementing Kubernetes deployments, and automating infrastructure with Ansible and Terraform.
• Bull BD (2021 – 2022) — Software Engineer, building data pipelines with node.js and a Mobile App with flutter
• Team Createex (2020 – 2021) — Software Engineer, delivering mobile apps with flutter and firebase as backend.

In recent years, my focus has expanded into Agentic AI and Generative AI systems — designing autonomous agents and multi-agent frameworks that enable LLMs to reason and act in real-world scenarios. Some of my key projects include:

• Researgent – An AI-powered LaTeX IDE with custom agents that generate and refine code in isolated Docker environments.
• Fetch for LLMs – A distributed multi-agent system that makes any webpage LLM-ready through DOM and layout analysis at scale on GCP.
• MsgMorph – A generative AI messaging engine using multi-agent collaboration for personalized communication.
• PioSphere – A cloud-native infrastructure platform built with Go, Kubernetes, Kafka, and Terraform to support scalable agentic systems.

I combine deep technical engineering with AI innovation, ensuring solutions are not only intelligent but also stable, secure, and scalable. Whether it’s building a custom web application, designing cloud infrastructure, or developing agentic AI systems, I can help bring ideas to life from concept to production.