9+ years architecting resilient cloud infrastructure, automating ML pipelines, and engineering DevOps culture for startups and enterprise organisations worldwide.
I'm a passionate, hands-on DevOps, MLOps & Infrastructure Architect with over 9 years of experience transforming complex business challenges into scalable, resilient technology solutions.
My career spans both high-growth startups and large enterprise environments, where I have designed and implemented cloud-native infrastructure, CI/CD pipelines, and ML platform architectures from the ground up.
I specialise in bridging the gap between development velocity and operational stability — enabling engineering teams to ship faster, scale confidently, and operate reliably across AWS, GCP, and Azure.
Core competencies built over 9 years across cloud platforms, DevOps tooling, and MLOps infrastructure.
A track record of building and scaling infrastructure across startups and enterprise projects.
Designed and maintained multi-region Kubernetes clusters on DigitalOcean. Implemented full CI/CD pipelines using GitLab CI for containerised application deployments. Established production observability with the EFK stack and provided cross-team support through testing and production phases.
Automated patch management and distributed server operations using Bash and Python scripting. Managed infrastructure spanning 10+ production servers and 200–300 client machines. Implemented configuration management with Chef and deployed EFK stack monitoring across the fleet.
End-to-end engineering services for teams building and operating at scale.
Transform legacy monolithic applications into cloud-native microservices. Full migration planning, containerisation strategy, and phased execution with minimal downtime and risk.
Implement end-to-end DevOps culture and tooling — from CI/CD pipelines and GitOps workflows to automated testing and progressive delivery across your engineering organisation.
Multi-cloud strategy, migration, and management across AWS, GCP, and Azure. Cost optimisation, security posture hardening, and high-availability architecture design.
Design and operate ML infrastructure — model training pipelines, feature stores, model registries, and serving platforms. End-to-end MLOps from experimentation to production.
Tools and platforms I work with daily to build and operate modern infrastructure.
"Amit is a great worker who delivered outstanding results. His technical depth and reliability are remarkable. We 100% recommend him to anyone looking for exceptional infrastructure work."
"Amit is a terrific technical resource, a great individual contributor, and a genuinely kind person. You cannot go wrong by working with him on any project."
"Very good work and always available. Delivered excellent output in record time with clear communication throughout the entire engagement."
Have a project in mind? Let's talk about how I can help build and scale your infrastructure.