I build resilient, scalable cloud platforms and reliable infrastructure for GenAI workloads — with Kubernetes, AWS and Terraform. Site Reliability Engineer based in Southfield, Michigan.
I'm an AI Infrastructure and Site Reliability Engineer with 3+ years designing and operating large-scale distributed systems, cloud-native platforms, and Kubernetes-based AI/ML infrastructure. Expertise in AWS, Kubernetes, Terraform, Docker, and CI/CD — with a strong focus on scalability, reliability, and performance optimization.
Proven track record improving system availability, reducing latency, and automating infrastructure using IaC. Experienced in GenAI infrastructure, model deployment pipelines, and platform engineering — with hands-on experience in observability, incident response, SLA/SLO management, and production-grade system design. Founder of Hamuzair; Master's in Data Analytics from Indiana Wesleyan University.
My core infrastructure toolkit and the path that got me here.
Coinbase · Full-time · USA
CirrusLabs · Full-time · IND
Hamuzair
Indiana Wesleyan University
Shadan College of Engineering and Technology
Designing and operating scalable, secure cloud platforms on AWS — built for performance across multiple regions.
Observability, incident response and automation that keep production systems fast, stable and highly available.
Container orchestration, autoscaling and zero-downtime deployments with Kubernetes for resilient workloads.
Reliable, optimized infrastructure for GenAI and ML workloads — from inference pipelines to cost optimization.
Representative work across cloud reliability, GenAI infrastructure and automation. Filter by focus area.
8 projects shown.
An open-source Windows AI assistant with a local language model, voice tools, research and automation. Explore the code, documentation and feature status.
Read HAYAT architecture and project notes →A learning scaffold for an AI API with FastAPI, Docker, Prometheus metrics and a Kubernetes deployment manifest. Model inference is mocked; Terraform and CI/CD are planned.
Read implementation notes and limitations →Cloud-native observability for Kubernetes with centralized logging and proactive alerting — automated provisioning cut configuration effort 45% and auto-remediation reduced incident response time 38%.
Production-grade EKS clusters with autoscaling and zero-downtime rollouts; reduced provisioning time 35% and improved deployment reliability.
GenAI-driven system that detects idle resources and optimizes compute — improving efficiency 25% with real-time CloudWatch monitoring and automated dashboards.
Automated model-serving and deployment pipelines for AI/ML workloads, with rollout automation, monitoring and feature-store concepts.
Secure, automated CI/CD that cut manual deployment effort 45%, with DevSecOps compliance checks built directly into the pipeline.
Reusable Infrastructure-as-Code templates provisioning multi-account AWS infrastructure, reducing provisioning time 50%.
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"Great experience. Helped build a professional, reliable setup and always happy to assist. Would highly recommend — 10/10."
Direct answers with links to the source code and project documentation.
Mohsin Khan Shaik builds software projects focused on local AI assistants, cloud infrastructure and automation. This is his official website. Explore his documented projects and their public source repositories.
HAYAT is a local-first AI assistant for Windows created by Mohsin Khan Shaik. Its public documentation describes a shared runtime for conversation, voice, research and permissioned computer tools. Read the HAYAT project notes for architecture, requirements and source links.
It is a learning scaffold. The source includes a FastAPI API, Dockerfile, Prometheus metrics and a Kubernetes deployment manifest. Inference is mocked; Terraform, autoscaling and CI/CD contain placeholders. See the implementation review for the exact scope.
Find the source on GitHub. Project discussions and issue trackers are linked from each project page. For a role, collaboration or other enquiry, use the contact section.
Have a project, role or idea in mind? Drop me a message.