---
title: "Ashish A Kamat - AI Platform Engineer Lead in Bengaluru | Tal"
description: "Meet Ashish A Kamat, ​Most AI fails at the infra layer. Mine doesn’t. Staff AI Platform Engineer — Agentic IDPs, Kubernetes, Terraform | 60% less friction | Relocating across Germany/NL/EU| CET based in Bengaluru. AI stack includes antigravity, claude code, and gemini. Explore public work links inc..."
image: "https://tal.club/meet/ashish-a-kamat/share-image"
---

# Ashish A Kamat on Tal

## Headline

​Most AI fails at the infra layer\. Mine doesn’t\. Staff AI Platform Engineer — Agentic IDPs, Kubernetes, Terraform \| 60% less friction \| Relocating across Germany/NL/EU\| CET

## About

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

## Location

Bengaluru

## AI stack

antigravity

claude code

gemini

github copilot

opencode

claudecode

## Work experience

AI Platform Engineer Lead at Ford Motor Company, Sep 2025 \- Present · 1 yr, Bengaluru, Karnataka, India, • Architected enterprise AI platform infrastructure supporting internal generative AI agents and LLM applications using GCP, Kubernetes, Terraform, and Vertex AI\. • Built agent\-based automation platform integrating GitHub, Jira, and ServiceNow to automate CI/CD troubleshooting and incident diagnostics\. • Implemented AI observability pipelines using Phoenix AI and Grafana to monitor model performance, token consumption, and request latency\. • Designed multi\-region disaster recovery architecture across GCP services including Cloud Run, AlloyDB, and Redis\.

Staff DevOps/MLOps Enginneer \( Lead Engineer\) at Nielsen, Aug 2024 \- Sep 2025 · 1 yr 2 mos, Bengaluru, Karnataka, India, \- Designed and Lead efforts of cost optimization framework for Kubernetes clusters running on EKS using a blend of open\-source tools and in\-house built tools\. This helped the team and the overall company reduce costs on Kubernetes and overall AWS resources by up to 60%\. \(Currently working on the next generation of this using Agentic AI\.\) \- Designed and automated CI/CD pipelines for LLM\-based services using GitLab CI, Terraform, and containerized workflows on AWS EKS\. \- Owned GitLab management and created chatbot\-driven automation for auto\-approving changes of repository ownership, merge request approvals, runner onboarding, etc\. \- Collaborated closely on a daily basis with Data Engineers and Data Scientists to enable seamless deployment of GenAI applications, including fine\-tuned LLMs and RAG\-based solutions\. \- Lead efforts of Implementation of AWS CloudWatch synthetic canary dashboards and end\-to\-end automation processes such as Infrastructure as Code using Terraform, GitLab pipelines, and parameterization for flexibility across services—enhancing system and application performance, including monitoring stack \(Prometheus \+ Grafana\), by 60%\.

Senior Platform/DevOps/MLOPs Engineer \( Tech Lead\) at Walmart Global Tech, Jan 2023 \- Aug 2024 · 1 yr 8 mos, Hybrid, \- Implemented Git\-ops for Kubernetes\-based machine learning applications, reducing deployment errors by 50%\. \- created GitOps based deployment using ArgoCD for inhouse cloud\-native Kubernetes platforms, achieving 40% faster time\-to\-insight with optimized data pipelines and real\-time processing\. Created custom Helm charts and pipelines, achieving 25% less downtime with containerization and collaboration with DevOps engineers, improving user experience\.

Senior Site Reliability Engineer at Walmart Global Tech, Oct 2021 \- Dec 2022 · 1 yr 3 mos, Remote, Part of the Centralised SRE team who is responsible for the development, enhancement, and support for Walmart's own proprietary CI\-CD tools such as looper, concord \(https://concord\.walmartlabs\.com\), oneops, and WCNP \(Walmart cloud\-native platform\) \- designed, architect, implemented, and onboarded multiple teams/ applications to follow the GitOps way and rolled our ArgoCD for Kubernetes\-based deployment \- designed, architect, and onboarded a couple of teams from Looper \(Walmart's own CI tool\) to Gitlab by creating end to end to pipeline creation, project administration, and Integration with other Walmart's CI/CD tools such as Concord, Github \- designed, architect, implemented, and migrated monitoring dashboards of various Jenkins/Looper dashboards to the single centralized dashboard with the creation of custom and standard metrics which helps an on\-call person to troubleshoot issues easily \- designed, architect, and implemented a Single source of the dashboard to monitor Infrastructure getting used behind all CI/CD tools and removing the dependency of Bastion host to run ad\-hoc Ansible tasks by giving UI trigger feature\. \- researched and implemented Configuration as Code feature for Looper by which UI tasks that are getting performed by a part of CRQ can be eliminated with the use of filters and CLI commands \- Helping various product teams to migrate their monolithic applications to microservice\-based architecture by the creation of Helm charts, and customized pipelines suitable for deployment on WCNP, a multi\-cloud cloud\-native Kubernetes platform \- as part of the cross\-team member, written various custom CRDs and controllers to support cloud\-native deployments on WCNP

Senior Devops Engineer at Cimpress India, Apr 2021 \- Oct 2021 · 7 mos, Mumbai, Maharashtra, India, As a senior member of the centralized DevOps team, leveraged expertise in AWS DevOps, Kubernetes, Terraform, GitLab, serverless frameworks, and observability tools to optimize serverless deployment times, resulting in a 20% improvement in deployment speed and 50% reduction in downtime, while ensuring 99\.99% uptime and real\-time visibility into application performance\.

Senior Devops Engineer at HERE Technologies, Jun 2019 \- Apr 2021 · 1 yr 11 mos, Mumbai Metropolitan Region, As Senior Member of a team, implemented a DevOps platform and successfully onboarded 70\+ microservices onto Kubernetes, reducing production incidents by 40%, improving mean time to resolution by 50%, achieving a 50% reduction in deployment time, ensuring 99\.99% uptime and real\-time monitoring of application performance, and optimizing data processing by 40% through the implementation of machine learning pipelines\.

Senior Software Engineer at Citiustech Healthcare, Apr 2018 \- Aug 2019 · 1 y 4 mo, Mumbai

Senior Programmer at Accelya kale, Mar 2017 \- Feb 2018 · 11 mo, Thane

Software Engineer at Cybage Software, Sep 2014 \- Sep 2016 · 2 y, Pune

## Education

Master's degree in Science, Data Science, Liverpool John Moores University

Postgraduate Degree, Data scientist, International Institute of Information Technology Bangalore

## Public links

- github: https://github\.com/ashishkamat2791
- medium: https://medium\.com/@ashishkamat27

[View the original profile](https://tal.club/meet/ashish-a-kamat)

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