Headline

Cloud | Designing cloud systems | SRE | AWS | Kubernetes | MLOps | DevSecOps

About

Over 15 years, I've designed and shipped cloud architectures on AWS and Azure that serve real workloads at enterprise scale — from latency-sensitive multi-region systems to Kubernetes platforms managing hundreds of microservices. Today, my focus is at the intersection of cloud engineering and AI deployment: building the pipelines, compute layers, and security guardrails that take ML models from experiment to production. What I do: Design multi-region AWS architectures with measurable latency and cost outcomes Build and operate Kubernetes-based platforms for AI/ML workload orchestration Implement LLMOps and MLOps pipelines: model serving, inference optimization, CI/CD for ML Automate cloud infrastructure with Terraform at scale, cutting provisioning time by 40% Enforce DevSecOps practices — IAM hardening, compliance automation, zero-trust posture Selected impact: 25% reduction in infrastructure latency across multi-region AWS deployments 40% faster provisioning via Terraform-based IaC automation 35% improvement in resource utilization through enterprise Kubernetes adoption 35% reduction in Azure infrastructure downtime at Synechron over 6 years

Location

Pune Division

AI stack

claude

github copilot

openai

Work experience

Solutions Architect at Tech Mahindra, Jun 2025 - Present · 1 yr 2 mos, Designed highly scalable, multi-region AWS architectures, reducing infrastructure latency by 25%. Enhanced cloud security posture by implementing IAM best practices, encryption mechanisms, and automated security compliance workflows. Developed Terraform-based infrastructure automation solutions, reducing provisioning time by 40%. Implemented AWS Landing Zone across enterprise environments, enabling centralized account management, compliance governance, and scalable cloud operations. Implemented cost-saving strategies, optimizing cloud spending by 15% through auto-scaling, Reserved Instances, and anomaly detection.

Cloud Engineer at EPAM Systems, Apr 2024 - May 2025 · 1 yr 2 mos, Pune, • Designed scalable, secure, and high-performance AWS cloud solutions following industry best practices. • Enhanced compliance by 35% through collaboration with cloud security stakeholders. • Reduced deployment time by 40% through automation using Terraform for AWS cloud infrastructure.

Specialist at EPAM Systems, Apr 2024 - May 2025 · 1 yr 2 mos, Automated data preprocessing, model training, and evaluation workflows using Apache Airflow. Built a CI/CD pipeline for retraining and redeploying models automatically when new data arrives. Used Kubernetes to manage scalable deployments and ensure high availability. Deployed a trained ML model as a REST API using FastAPI and hosted it on AWS EC2. Managed model artifacts in AWS S3 and implemented continuous integration via GitHub Actions. Deployed centralized logging solutions (ELK Stack, DataDog, Prometheus), achieving 99.9% system uptime. Enforced secure development lifecycle policies, integrating SonarQube, Semgrep, and AWS Security Hub into CI/CD pipelines.

Technology Specialist at Synechron, Mar 2018 - Mar 2024 · 6 yrs 1 mo, Pune, Maharashtra, • Led the design and deployment of cloud-native applications on Azure, improving scalability and reliability. • Implemented automated workflows and CI/CD pipelines with Azure DevOps for efficient application deployment. • Reduced Azure infrastructure downtime by 35% through effective troubleshooting and issue resolution.

DevOps Specialist at Synechron, Mar 2018 - Mar 2024 · 6 yrs 1 mo, Led end-to-end migration of on-premise applications to Azure, reducing operational costs by 30%. Implemented GitHub Actions, Jenkins, GitLab CI/CD pipelines, improving release cycles by 40%. Deployed centralized logging solutions (ELK Stack, DataDog, Prometheus), achieving 99.9% system uptime. Build ML Model and Deploy using AWS SageMaker Studio. Enforced secure development lifecycle policies, integrating SonarQube, Semgrep, and AWS Security Hub into CI/CD pipelines.

Team Lead at Accenture, Apr 2015 - Jan 2018 · 2 yrs 10 mos, Pune Area, India, • Led containerization efforts for legacy applications, integrating them into Azure Kubernetes Service for improved scalability and reliability. • Designed and enforced DevOps practices, streamlining CI/CD pipeline development using Azure DevOps, GitLab, and Jenkins. • Ensured adherence to industry standards and customer requirements for Azure security, governance, and compliance. • Delivered robust Azure infrastructure solutions, optimizing configurations for peak performance.

Technical Consultant at Polaris Financial Technologies Ltd, Jul 2014 - Feb 2015 · 8 mos

Education

yes, Computer Science, B.Tech(C.S)

B.Tech, Computer Science, Inderprastha Engineering College