I design backend systems, automate cloud deployments, and build reliable DevOps pipelines. I focus on performance, scalability, and delivering production-grade solutions across distributed environments.
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Backend & DevOps engineer with experience in building reliable, scalable systems.
I'm a backend and DevOps engineer with 5+ years of experience building robust services, APIs, and automated deployment workflows. My work spans microservices, cloud-native architectures, CI/CD automation, and reliability engineering.
I love solving engineering challenges, improving performance, and designing automation that makes development predictable and efficient. I’ve contributed to distributed systems, cloud deployments, and large-scale scientific platforms.
A production-style system monitoring package published on PyPI. Provides real-time CPU, memory, disk, GPU, and uptime metrics through a clean API and CLI tool. Built using modern packaging standards (PEP 621), semantic versioning, CI/CD automation, and DevOps workflows.
Designed backend modules for distributed telescope control systems, focusing on event processing, reliability, system orchestration, and microservice integration. Improved stability and observability across multiple subsystems.
Implemented automated CI/CD pipelines using GitHub Actions and Jenkins. Streamlined testing and deployment workflows, improving reliability and reducing manual overhead across teams.
Built scalable cloud-ready infrastructure using AWS EC2, RDS, Lambda, and S3. Automated provisioning, improved observability, and ensured high availability for production workloads.
I’m open to backend, DevOps, and cloud engineering roles — remote or onsite.
If you’re looking for someone to help build reliable backend services, automate deployments, or design cloud-native solutions, feel free to reach out.