Senior AI Platform Engineer / Lead MLOps Engineer at PayPal

Designed and maintained enterprise AI platforms supporting ML, deep learning, and Generative AI workloads. Architected scalable infrastructure enabling rapid model deployment and operationalization, including reusable platform components and self-service deployment capabilities. Built end-to-end MLOps pipelines for data ingestion, model training, validation, deployment, and monitoring. Managed multi-region GKE clusters and implemented centralized logging and monitoring using Google Cloud Operations Suite, Prometheus, and Grafana. Operationalized MLflow experiment tracking, model registry, and model governance with automated model promotion and retraining workflows. Implemented RAG solutions using LangChain and LangGraph with vector databases, fine-tuned and evaluated open-source LLMs, and added production monitoring including drift detection and performance observability. Provided incident response, capacity planning, and platform optimization, leveraging AI-assisted development tool

DevOps Engineer / ML Platform Engineer at TCS

Designed and implemented scalable MLOps platforms supporting NLP and ML workloads. Built reusable deployment frameworks and GitLab CI/CD pipelines for packaging, validation, and deployment. Implemented Infrastructure as Code for repeatable environments and managed model lifecycle using MLflow and AWS SageMaker. Developed NLP solutions using BERT, DistilBERT, Hugging Face, spaCy, and NLTK, including sentiment analysis, text classification, and chatbot solutions, with fine-tuning for domain-specific use cases. Implemented automated data-quality validation and schema verification, containerized workloads with Docker and Kubernetes, and delivered monitoring/drift detection and observability dashboards using Grafana, Kibana/ELK, and Splunk. Collaborated with data science teams to productionize models and optimized cloud infrastructure for cost and performance.

DevOps Engineer / Site Reliability Engineer (SRE) at Virgin Media O2

Managed Kubernetes and GKE clusters supporting business-critical applications. Designed CI/CD pipelines for multiple engineering squads. Automated infrastructure provisioning using Terraform and Ansible. Implemented monitoring and alerting with Prometheus, Grafana, and Dynatrace, and improved platform reliability through capacity planning and incident management. Applied AWS Well-Architected Framework best practices in operations and reliability improvements.

DevOps Engineer / Site Reliability Engineer (SRE) at Tech Mahindra

Managed AWS infrastructure across production and non-production environments. Automated deployments using Jenkins, GitHub, and Infrastructure as Code. Built Docker images and Kubernetes deployment pipelines, implemented monitoring, logging, and cloud security controls, and supported high-availability architectures and release automation. Designed and deployed cloud architectures across IaaS/PaaS/SaaS and performed AWS provisioning using core services such as EC2, S3, ELB, RDS, IAM, Route 53, VPC/subnets, routing, auto-scaling, CloudFront, CloudWatch, and CloudFormation. Used Terraform and Ansible for infrastructure automation.