Ashish Kamat — DevOps Engineer
Experienced DevOps, Site Reliability (SRE), and Platform Engineer with 10+ years of proven success building, scaling, and operating large-scale cloud infrastructure for global product companies across Europe and international markets. Currently expanding into MLOps and Agentic AI Infrastructure, combining my strong platform engineering background with emerging AI/ML operations to support next-generation intelligent systems. Core Achievements: ✅ Improved deployment speed by 60% and reduced deployment errors by 50% through GitOps adoption (ArgoCD, Kubernetes) and fully automated CI/CD pipelines. ✅ Reduced production incidents by 40% with proactive observability (Prometheus, Grafana) and incident automation. ✅ Migrated 100+ microservices into Kubernetes with built-in DevSecOps, observability, autoscaling, and zero-downtime deployments. ✅ Built serverless CI/CD pipelines deploying 50+ Lambda functions with real-time observability and security compliance. ✅ Architected highly secure healthcare data pipelines fully compliant with GDPR, HIPAA, ISO standards. ✅ Delivered 30% cloud cost optimization while improving reliability and system scalability. Technical Skills: Cloud Platforms: AWS (EC2, EKS, Lambda, S3, RDS), GCP, Azure Containerization: Docker, Kubernetes, Helm, Kustomize Infrastructure as Code: Terraform, CloudFormation, Ansible CI/CD & GitOps: GitHub Actions, GitLab CI, Jenkins, ArgoCD, FluxCD Monitoring & Observability: Prometheus, Grafana, ELK Stack, OpenTelemetry MLOps (In Progress): MLflow, Kubeflow, Airflow, Model Monitoring, Feature Store Agentic AI Infrastructure (Learning): LangChain, Crew AI, Pydantic Security & Compliance: DevSecOps, GDPR, HIPAA, ISO 27001 Programming: Python, Bash, Go, SQL, Pandas, NumPy,TensorFLow Version Control: Git, GitOps Workflows Recently Initiated MLOps & Agentic AI Experience: 🚀 Building hands-on MLOps pipelines integrating ML model versioning (MLflow), experiment tracking, model serving on Kubernetes, and monitoring pipelines. 🚀 Working on AI data pipelines with vector databases (FAISS, Pinecone, OpenSearch) for Retrieval Augmented Generation (RAG) use cases. 🚀 Exploring agentic AI orchestration using LangChain, DSPy, and RetrievalQA frameworks to build AI-powered applications with dynamic knowledge retrieval and multi-step agent workflows. 🚀 Actively learning LLM infrastructure deployment and best practices for secure, production-grade AI platform operations. 🌍 Open to opportunities across India, Europe (Germany 🇩🇪, Netherlands 🇳🇱,Switzerland 🇨🇭, UK) , Asia,Middle-East
Stackforce AI infers this person is a Cloud Infrastructure and MLOps expert with a focus on scalable solutions.
Location: Mumbai, Maharashtra, India
Experience: 10 yrs 11 mos
Skills
- Mlops
- Kubernetes
- Ci/cd
- Gitops
- Devops
- Aws
Career Highlights
- 60% improvement in deployment speed through GitOps.
- 40% reduction in production incidents with observability.
- Expertise in MLOps and Agentic AI Infrastructure.
Work Experience
Nielsen
Staff DevOps/MLOps Enginneer ( Lead Engineer) (1 yr 10 mos)
Walmart Global Tech
Senior Platform/DevOps/MLOPs Engineer ( Tech Lead) (1 yr 7 mos)
Senior Site Reliability Engineer (1 yr 2 mos)
Cimpress India
Senior Devops Engineer (6 mos)
HERE Technologies
Senior Devops Engineer (1 yr 10 mos)
CitiusTech
Senior Software Engineer (1 yr 1 mo)
Accelya Group
Cloud Developer (11 mos)
Cybage
DevOps Engineer (2 yrs)
Education
Master's degree in Science at Liverpool John Moores University
Postgraduate Degree at International Institute of Information Technology Bangalore
Diploma in Advanced Computing at Vidyanidhi Info Tech Academy
Bachelor's degree at University of Mumbai
HSC at VEHS & Jr College Vashi
SSC at Terna Vidyalaya