ZS Associates

Proactively supervise service performance for enterprise-level distributed systems serving 10,000+ users, improving response times by 45% and reducing resource consumption by 30%.

Lead incident response as primary on-call engineer with average MTTR of 15 minutes, reducing recurring issues by 70% through detailed root cause analysis.

Develop automation using Python, Bash, and PowerShell — reducing manual intervention by 65% and saving 25+ hours weekly.

Manage production Kubernetes clusters with Docker, implementing auto-healing, HPA, and achieving zero-downtime deployments through blue-green and canary strategies.

Deploy monitoring infrastructure using Prometheus, Grafana, Datadog, and Splunk, reducing alert noise by 50% through intelligent thresholding.

Implement IaC using Terraform, CloudFormation, and Ansible achieving 100% infrastructure reproducibility.

Define and supervise SLIs/SLOs for 50+ microservices, establishing error budgets and driving data-driven reliability decisions.

Samyak Softwares

Assisted with cloud infrastructure deployments, monitoring setup, automation scripting, and incident response procedures in AWS environments.
Participated in CI/CD pipeline development, configuration management initiatives, and operational documentation creation.

MIT Academy of Engineering, Pune

Graduated in Information Technology with distinction. Specializing in Cloud Computing and Distributed Systems.

Microsoft Azure Fundamentals (AZ-900)

AWS Cloud Practitioner

Enterprise SRE Automation Platform

Architected comprehensive SRE automation platform reducing operational toil by 70%. Implemented self-healing mechanisms and automated incident response workflows achieving 80% reduction in manual intervention and 99.95% uptime. Developed automated run-books with rollback capabilities integrated with Slack and PagerDuty.

Distributed Microservices Platform

Led reliability engineering for 50+ services across multi-region AWS infrastructure with Istio service mesh. Designed monitoring strategy using Prometheus, Grafana, and Datadog achieving 99.9% availability and sub-200ms P95 latency. Applied chaos engineering using AWS Fault Injection Simulator.

Cloud Migration & Optimization Initiative

Led migration of 100+ applications from on-premises to AWS with zero data loss and minimal downtime. Implemented cost optimization strategies reducing cloud spend by 35% while improving performance.