Hello, I'm

Shubham Asgaonkar

Cloud & MLOps Engineer

Building production-ready GenAI/LLM solutions and scalable cloud infrastructure on AWS & Azure. Automating end-to-end pipelines for AI engineering.

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About Me

I am a Cloud & MLOps Engineer based in Hof, Germany, with cross-cloud experience in AWS and Azure. I architect and deploy scalable software systems, containerised services, and GPU-accelerated ML workloads on Kubernetes (EKS & AKS).

Experienced in building production-ready GenAI/LLM solutions, MCP servers, and automated CI/CD pipelines with comprehensive DevSecOps controls.

Location: Hof, Germany

Experience

Oneture Technologies · Mumbai, India · 09/2024 – 09/2026

12/2025 – 09/2026

Cloud Engineer

  • Built Python APIs and reusable MCP servers for GenAI/LLM workflows, including document-to-Markdown conversion
  • Contributed to Microsoft Agent Framework and set up end-to-end Grafana monitoring for its workloads
  • Deployed MCP servers and backend services on AKS with high availability and environment segregation
  • Automated Azure DevOps CI/CD with security and code-quality gates; centralized logs with Splunk
AKSAzure DevOpsMCPGrafanaSplunk
12/2024 – 11/2025

Associate Cloud Engineer

  • Raised AWS security posture from ~20% to over 85% with native controls, guardrails and central monitoring
  • Moved workloads to private subnets with least-privilege access
  • Deployed three-tier React, Node.js and MongoDB apps on EKS with GitLab CI/CD, SonarCloud, Trivy and OWASP ZAP
  • Cut ML inference costs by ~80% by moving from SageMaker to containerized serving on EKS with autoscaled GPU nodes
EKSGitLab CI/CDGPUAWS Security
09/2024 – 11/2024

Junior Cloud Engineer Intern

  • Optimized AWS infrastructure for cost efficiency and operational security
  • Wrote architecture diagrams and operational docs; containerized internal ML and GenAI projects with Docker multi-stage builds
AWSDocker
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Education

10/2026 – Present

Master of Engineering (M.Eng.) in Software Engineering for Industrial Applications

Hof University of Applied Sciences, Hof, Germany
04/2021 – 05/2024

Bachelor of Science (B.Sc.) in Computer Science — Cloud Technology & Information Security

Nagindas Khandwala College, University of Mumbai, India
  • CGPA: 9.68/10 (Indian grading scale; 10 is the highest grade)

Technical Skills

Cloud Platforms

AWS, Microsoft Azure

Containers & Orchestration

Docker, Kubernetes (EKS & AKS), Helm, Karpenter, Docker Compose

CI/CD & IaC

Azure DevOps, GitLab CI/CD, Jenkins, Terraform, AWS CodePipeline, CloudFormation

MLOps & LLMOps

FastAPI Model Serving, GPU Inference on EKS, FastMCP, Containerized LLM Deployment

DevSecOps

SonarQube, Trivy, OWASP ZAP, Veracode, Twistlock, OWASP Dependency-Check

Monitoring & Observability

Prometheus, Grafana, CloudWatch, Splunk

Languages & Tools

Python, Bash, Git, PostgreSQL, MySQL, Linux, Nginx

Selected Projects

GenAI / LLM Product Development

Built production-ready GenAI solutions from scratch, including Python-based document conversion services (PDF → Markdown) and reusable MCP servers exposing AI/LLM tools via standardized API calls.

GenAI FastAPI MCP Python

AKS Deployment & Azure DevOps Pipelines

Deployed AI MCP servers and backend services to Azure Kubernetes Service with high availability. Automated multi-repo pipelines with Veracode, SonarQube, Twistlock, and Docker scanning gates.

AKS Azure DevOps DevSecOps

AWS Cloud Security Optimization

Improved AWS security posture from ~20% to >85% using native controls, account-level guardrails, and centralized monitoring. Migrated workloads to private subnets with least-privilege access.

AWS Security Compliance GuardDuty

ML Inference Cost Optimization

Reduced ML inference costs by ~80% by migrating from AWS SageMaker to containerized model serving on EKS with autoscaled GPU nodes. Managed cluster reliability via Prometheus and Grafana.

EKS GPU Cost Saving Kubernetes

Latest Insights

Thoughts on LLMOps, Agentic AI, and Engineering

Certifications

AWS Solutions Architect Associate

Issued Nov 2024

Microsoft Azure Fundamentals (AZ-900)

Issued Jun 2023

Get In Touch

Let's collaborate

Interested in discussing LLMOps, AI Engineering, or have a project in mind? Feel free to reach out.

shubham@asgaonkar.com
Hof, Germany