Ashish Maheshwari

About Ashish Maheshwari

DevOps and Platform Engineering leader with 12+ years of experience designing and operating scalable cloud and AI infrastructure for global enterprises. I specialize in building reliable, secure, and automated platforms using Kubernetes, Terraform, MLOps frameworks, and hybrid cloud architectures.Over the years, I have led platform deployments and infrastructure strategy for 25+ enterprise customers across banking, telecom, healthcare, and technology sectors. My work focuses on enabling organizations to scale their platforms while maintaining high reliability, strong security practices, and efficient cloud cost management.I have extensive experience in DevSecOps, CI/CD optimization, LLM infrastructure deployments, and platform observability, helping engineering teams deliver production-grade systems with improved deployment velocity and operational resilience.Beyond infrastructure delivery, I am passionate about platform engineering, automation, and knowledge sharing, helping teams adopt modern DevOps practices and build scalable systems that support business growth.Core Skills & Technologies:> Languages: Golang, Python, Groovy, NodeJS, Ruby, Perl, Shell Scripting> Cloud Platforms: AWS, Azure, GCP> DevOps & Platform Engineering: Docker, Kubernetes (K8s), Helm, Terraform, Ansible, GitHub Actions, Jenkins, ArgoCD, FluxCD, Azure DevOps, ROSA> Testing & Security: Cucumber (BDD), Selenium, Security Testing, DevSecOps> Monitoring & Observability: Prometheus, Elasticsearch, Grafana, Jira, CloudCheckr, Slack-Opsgenie> MLOps & Data Platforms: LLM Deployments, ELT Pipelines, AWS DMS, Airflow, AWS SageMaker, Metabase, OpenAI> Additional Exposure: Blockchain, GoLang Kubernetes Operators, Hybrid Cloud Architecture

Experience

1. Platform Engineering Lead

   Odin Ai

   Mar 2025 — Present · Jaipur, IN

   Responsibilities- Led platform deployments and infrastructure strategy for 25+ enterprise customers across banking, telecom, healthcare, and technology sectors- Architected standardized Terraform and Kubernetes (EKS and Bare-Metal) deployment frameworks supporting cloud, hybrid, and on-prem environments- Act as partner employee of Automation Anywhere and KPMG to developed AI and LLM solutions - Designed LLM infrastructure architectures including GPU sizing, Bedrock access, and hybrid AI deployments- Implemented DevSecOps practices including container hardening, secrets management, and security remediation programs- Built centralized observability platforms using ELK, Grafana, and SigNoz improving incident diagnosis and RCA- Delivered FinOps initiatives saving ~$10K/month through infrastructure optimization- Built a reusable enterprise architecture knowledge base by authoring critical platform documentation covering LLM strategy, EKS architecture, Supabase HA on Kubernetes, DR/RTO/RPO strategies, secure AWS VPN and database access, and logging/RCA frameworks - enabling engineering, pre-sales, security, and operations teams to accelerate deployments and improve platform reliability

Education

• Vellore Institute of Technology

  Master of Computer Applications (M.C.A.)

  2010 — 2013