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Sahil A.

Sahil A.

MLOps Engineer · Senior-level

Rate on request

Professional Overview

Sahil Arya is a DevOps / Cloud Engineer with a strong foundation in automation, cloud infrastructure, CI/CD pipelines, and reliability engineering. With hands-on experience across modern DevOps tools and cloud platforms, he specializes in building scalable, secure, and cost-efficient systems that bridge the gap between development and operations. He has worked extensively with containerization and orchestration technologies such as Docker and Kubernetes, enabling teams to deploy applications faster, more reliably, and with minimal downtime. Sahil has practical experience designing and managing CI/CD pipelines using tools like Jenkins and Azure DevOps, focusing on pipeline optimization, deployment reliability, and failure recovery. His expertise includes cloud platforms (AWS and Azure), where he has designed and deployed multi-tier architectures, implemented infrastructure as code (Terraform), and supported production workloads with monitoring and observability solutions such as Prometheus and Grafana. He is particularly strong in cloud cost optimization, availability design, and operational best practices aligned with SRE principles. Sahil brings a systems-thinking mindset to his work. He focuses not just on making things work, but on making them repeatable, maintainable, and scalable. He is comfortable troubleshooting complex production issues, analyzing root causes, and implementing long-term fixes rather than temporary patches. What sets Sahil apart is his ability to combine technical depth with responsibility and ownership. He approaches problems methodically, communicates clearly with stakeholders, and takes accountability for outcomes. He continuously upskills himself in emerging areas such as DevSecOps, cloud security, and automation, ensuring that his solutions remain relevant and future-proof. Potential employers should consider Sahil Arya for his: Strong DevOps and cloud engineering fundamentalsProven ability to design, automate, and optimize systemsCalm and structured approach to production challengesWillingness to take ownership and grow with the organizationLong-term mindset aligned with building reliable, scalable platforms 

Areas of Expertise

MLOps & AI Infrastructure

Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.

Open to

Contract Full Time Freelance Part Time

AI Expertise

MLOps & Industrialisation MLOps & AI Infrastructure

Skills

Python TensorFlow PyTorch chatgpt AWS Docker Kubernetes MLflow Azure CI/CD

Experience Level

Senior-level

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