Senior Technical Lead – GenAI, Cloud & Infrastructure at Coforge (2025-02 – Present)
Client: Arch Capital Group
- GenAI / LLMOps Innovation: Pioneered AI-assisted deployment automation using Azure AI Foundry, LLM serving, and RAG with integrated guardrails and observability, reducing deployment complexity for enterprise teams at Arch Capital Group.
- Architected LLMOps pipelines for GenAI model deployment, implementing guardrails, observability, and scalability patterns for self-hosted models and AI Gateway integrations in production environments.
- Implemented GitOps workflows using Argo CD, reducing manual deployment effort by 40% and enabling full audit traceability for production releases.
- Led and mentored a cross-functional team of 10+ engineers across GenAI, cloud, and infrastructure workstreams to build reusable Terraform modules for 15+ Azure resource types (VNet, AKS, ACR, Foundary, App Gateway) and establish real-time observability using Dynatrace, Prometheus, and Grafana, driving sprint planning and code reviews while cutting infrastructure provisioning time by 50%.
- Hackathon (Top 10 Winner): Built an agentic AI-powered DevOps automation platform using LangChain, automating code review, test generation, CI/CD execution, and monitoring triage, reducing manual DevOps effort by 40% and accelerating release velocity.
Specialist – Cloud Services, MLOps & Software at LTIMindtree (2021-09 – 2025-01)
Client: EY
- MLOps at Scale: Architected Kubeflow-based MLOps pipelines with automated model retraining and serving, cutting model deployment cycle time by 60% and ensuring continuous model freshness.
- Led a team of 10+ DevOps engineers supporting enterprise delivery across 5+ concurrent microservices projects, maintaining zero SLA breaches over two years.
- Architected end-to-end CI/CD pipelines using Azure DevOps and GitHub Actions, increasing deployment frequency by 40% and reducing release cycle time by 70%.
- Deployed and managed containerized workloads in AKS using Docker, Helm, Kustomize, Flux CD, and Argo CD, supporting 50+ microservices in production with auto-scaling for high scalability.
- Built modular Terraform configurations for Azure resource provisioning, reducing manual deployment errors and cutting infrastructure deployment time by 50%.
- Established model observability and drift monitoring frameworks, enabling proactive detection of model performance degradation and automated rollback triggers for failed deployments.
- Reduced cloud expenditure by 20% through rightsizing, auto-scaling policies, and Azure Cost Management governance across three environments.
- Key Project: Designed enterprise-grade secure CI/CD pipeline using GitHub Actions and Azure DevOps for AKS-hosted microservices architecture, cutting release cycle time by 70%, embedding automated security scanning, network policies, and CIS-compliant runtime controls, and reducing security incidents by 50%.
Exec 2 – IT Infrastructure & Operations at Jio Platform Limited (2020-04 – 2021-09)
- Built and maintained CI/CD pipelines for retail and petrochemical applications, improving deployment efficiency by 35%.
- Led migration of 10+ on-premises applications to Azure and deployed Azure Monitor and Prometheus alerting, reducing operational costs by 25%, cutting incident response time by 30%, and improving overall system scalability and reliability.
Team Lead at Global NTT (2017-10 – 2020-04)
- Managed a team of 15+ engineers responsible for DevOps automation, network operations, and cloud deployments on Azure, achieving 100% compliance on quarterly audits.
- Built Docker images and deployed containerized applications to Azure App Services through ACR and Azure DevOps CI/CD pipelines.
Project Coordinator at Lobo Staffing Solutions (2016-08 – 2017-10)
- Coordinated DevOps and cloud integration projects for Tata Communications global clients, managing delivery in Jira and Trello and implementing cost optimization across AWS and Azure environments.
Network Engineer at DbNix (2015-03 – 2016-07)
- Managed Airtel's PAN India WAN network for SBI, ensuring performance compliance and SLA adherence across all regions.
