---
title: "SaiKumar M - Senior Platform Engineer - AI Infra in Bengaluru | Tal"
description: "Meet SaiKumar M, AI Platform Engineer @ Delta | MLOps & GenAI Infra | RAG | AWS Pro | MCP | Agentic Foundations based in Bengaluru. AI stack includes cursor, github copilot, and langchain."
image: "https://tal.club/meet/saikumar-1/share-image"
---

# SaiKumar M on Tal

## Headline

AI Platform Engineer @ Delta \| MLOps & GenAI Infra \| RAG \| AWS Pro \| MCP \| Agentic Foundations

## About

I build the nervous systems for modern enterprise scale\. My engineering philosophy revolves around a singular truth: the true value of Generative AI cannot be unlocked without a highly resilient, distributed, and deterministic cloud fabric beneath it\. I specialize in the intersection of hard\-core distributed systems and cutting\-edge LLMOps specifically operationalizing autonomous AI agents to perform complex, stateful tasks at enterprise scale\.My journey began by engineering advanced multi\-cloud observability and high\-availability frameworks at Nexinfo Solutions, which paved the way for spearheading massive distributed systems migrations at Carelon Global Solutions\. Today, as a Senior Platform Engineer at Delta Air Lines, I fuse this deep infrastructure expertise with modern AI orchestration\. I architect production\-grade GenAI environments and multi\-cloud AI gateways that power intelligent, autonomous enterprise applications\. 🚀 Core Technical Pillars: GenAI & Agentic Systems: AWS Bedrock, Azure OpenAI Service, LangGraph, AgentCore, Model Context Protocol \(MCP\), MLflow, LLM Model Serving\.Cloud Fabric & Platform Engineering: Kubernetes \(EKS/ROSA\), Infrastructure as Code \(Terraform\), GitOps \(ArgoCD, GitLab CI\), Enterprise Observability \(Prometheus, Grafana, Datadog\)\. Credentials: Certified Kubernetes Administrator \(CKA\) \| AWS Certified Solutions Architect – Professional\.With nearly 6 years of hands\-on platform engineering experience, I am currently exploring hybrid opportunities within Bengaluru’s elite tier\-1 tech ecosystem\. I am available on a short notice period and ready to architect your next AI\-native infrastructure leap\. Let's build

## Location

Bengaluru

## AI stack

cursor

github copilot

langchain

ollama

## Work experience

Senior Platform Engineer \- AI Infra at Delta Air Lines, Dec 2024 \- Present · 1 yr 10 mos, Bengaluru, • Leading Next\-Gen multi\-tenant Kubernetes platform migration on OpenShift \(ROSA\), reducing compute spend by 30% for 500\+ production services • Building internal developer platform capabilities enabling self\-service provisioning, secret management & deployment automation for 100\+ teams • Rolled out GitOps with GitLab CI \+ Helm for Day\-0/Day\-1 automation, cutting onboarding time from 5 days → < 1 hour • Modernizing observability using OpenTelemetry pipelines → 40% faster RCA and improved incident response • Architected a high\-throughput enterprise RAG pipeline using AWS Bedrock and custom MCP servers, reducing document intelligence latency by 42% and securing agentic data retrieval\. • Enhancing SRE and DevEx by implementing progressive delivery, proactive health checks & automated remediation Tech stack: OpenShift \(ROSA\), Kubernetes, GitLab CI, Helm, AWS CDK, CloudFormation, ELK, OpenTelemetry, API Gateway, Serverless

DevOps Engineer at Carelon Global Solutions, Jan 2023 \- Dec 2024 · 2 yrs, Bengaluru, Karnataka, India, • Automated infrastructure provisioning using Terraform & Helm → 50% faster deployments and zero config drift across clouds \(AWS & Azure\) • Managed large\-scale microservices on EKS & AKS with GitOps \(ArgoCD\) → 50% faster release cycle and improved scalability • Optimized Kafka & Spark workloads in Kubernetes achieving 99\.95% uptime while supporting 50% higher data throughput • Built cloud access automation using Python to remove 80% of manual effort for 500\+ engineers • Reduced compute wastage by 20% using KEDA auto\-scaling and improved cost efficiency • Enhanced security posture by implementing Teleport for identity\-based secure access • Designed self\-healing node lifecycle automation using Karpenter & Infra\-as\-Code → higher availability & lower operational toil • Integrated Kubeflow & Crossplane to enable early MLOps adoption and cross\-cloud infrastructure abstractions • Standardized Observability stack with Splunk & OpenTelemetry, cutting MTTR by 35% Tech & Tools: AWS, Azure, Kubernetes \(EKS/AKS\), Terraform, Helm, ArgoCD, KEDA, Karpenter, Python, Teleport, Splunk, Istio, GitOps, Crossplane, Kubeflow

DevOps SRE Engineer at NexInfo Solutions, Inc\., Jun 2019 \- Dec 2022 · 3 yrs 7 mos, • Engineered end\-to\-end observability using Prometheus, Grafana & ELK → 50% faster incident response and improved system reliability • Designed production\-grade CI/CD with Azure DevOps \+ ArgoCD → 60% higher deployment frequency and near zero\-downtime rollouts • Improved message resilience by integrating RabbitMQ \+ Kyverno policies → <5% message failure rate across microservices • • Designed and managed cloud infrastructure on Google Cloud Platform \(GCP\) including GKE, Cloud Storage, Pub/Sub, and BigQuery to support scalable microservices\. • Automated monthly patching using Ansible → 25% reduction in patching effort \+ consistent compliance • Led 24/7 production support with 30\-minute average issue resolution and deep RCA to eliminate repeat failures • Strengthened cloud reliability with Kubernetes \(EKS/AKS\) based scaling and proactive capacity monitoring Tech Stack: Kubernetes \(EKS/AKS\), Azure DevOps, ArgoCD, Terraform, Ansible, Prometheus, Grafana, ELK, RabbitMQ, Kyverno, Jenkins, Docker, Bitbucket

## Education

Mechanical Engineering, Sri sairam engineering college

[View the original profile](https://tal.club/meet/saikumar-1)

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