Headline

Lead Platform Engineer, Machine Learning @ Resmed | Platform Development, AI

About

As a Lead Platform Engineer, Machine Learning at ResMed, I focus on advancing enterprise cloud-native AI platforms. With over 3 years of experience in this role, I contribute to developing scalable infrastructure for AI model deployment, integrating CI/CD pipelines, and building Kubernetes-based machine learning environments. My expertise in MLOps and platform development supports the implementation of innovative solutions for AI-driven applications. With a total of over ten years of experience across roles in machine learning, DevOps, and cloud engineering, I am passionate about creating robust, reliable, and efficient systems. At ResMed, I work to enhance model deployment, observability, data monitoring, and pipeline automation, driving operational excellence and innovation. My work reflects a strong commitment to empowering organizations with cutting-edge AI and platform solutions.

Location

Bangalore Urban

AI stack

claude code

claude

github copilot

hugging face

langchain

langgraph

Work experience

Lead Platform Engineer, Machine Learning at ResMed, Jul 2025 - Present · 1 yr 2 mos, Bengaluru, Karnataka, India · Hybrid, • Enterprise AI Agents/MCP/Agentic AI Registry with authentication, governance, and lifecycle management. • Multi-modal AI Gateway with intelligent routing, rate limiting, budget enforcement, cost tracking, and centralized control for LLM traffic. • An AI-powered SRE Agent that interacts with users through Slack/Teams/chatbots, analyzes logs, connects with Kubernetes, monitors MCPs/microservices/agents, performs troubleshooting, identifies root causes, and automates operational workflows. • Organization-wide chargeback/showback framework for AI and infrastructure consumption. • Enterprise AI guardrail systems including policy enforcement, safety controls, observability, and red teaming for all LLM interactions. • Kubernetes-based ecosystem for scalable deployment and orchestration of LLMs, agents, MCPs, AI applications, and skills.

Senior Machine Learning Operations Engineer at ResMed, Jun 2023 - Jul 2025 · 2 yrs 2 mos, Bengaluru, Karnataka, India · Hybrid, Building Enterprise Cloud Native AI Platform Model deployment pipeline Kubernetes based ML Platform setup CICDCT for ML Models Observability on model accuracy, data and model monitoring Kubeflow, Truefoundry MLOps platform guy Agentic Framework creation, RAG templates. MCP Marketplace for Enterprise.

Software Engineer at Twilio, Mar 2022 - Jun 2023 · 1 yr 4 mos, India, Infra automation guy (IaC) and adopting GitOps principles Codify everything and implement DRY, KISS for DevOps. Automated DB migrations. CICD pipeline for k8s infrastructure Trying to be Ironman of Datadog. Terraform Cloud formation Reliability first design with operational excellence. DevSecOps implementation for IaC and K8S

Senior DevOps Engineer at Continental, Jul 2021 - Mar 2022 · 9 mos, Bengaluru, Karnataka, India, Part of Innovation, Business Development & Digital Solutions team. CI/CD pipeline creation for server-less micro services Terraform-ing cloud deployment Set up Observability as code DevSecOps - Foundation and architect Evaluation of Policy as Code implementations

Staff Technology Cloud Engineer at Oracle, Jan 2021 - Jul 2021 · 7 mos, India, Technical pre-sales consultant Cloud solution design and implementation partner. Customer-focused demonstration and Proof-of-concept - Oracle Cloud Infrastructure Sales management and operations - Oracle Cloud

Senior Software Engineer at Bosch Engineering and Business Solutions, Jan 2018 - Dec 2020 · 3 yrs, Coimbatore, Tamil Nadu, India, • Delivering Automotive tools/applications infrastructure to engineering team via Bosch developed tool – ToolBase • Service Availability Engineering for the project and Agile framework for product development • Automatic stage deployments with Gitlab, Docker, Kubernetes containerization platform • Setup and maintain DevOps Engineering infra for production, testing and staging • Create Build and Release pipeline using Azure DevOps • Test automation for new product builds and release • Implementing, managing and monitoring the distributed web servers, SCM tools, Automation scripts • Incident, problem and change management for entire project • Product Support Engineer for both Linux and Windows application release. • Active Directory, user management and license cost billing report generation • Integrate all edge location server with Splunk alert management

Software Engineer at Visolve, Apr 2015 - Dec 2017 · 2 y 8 mo, Coimbatore

Education

Bachelor of Technology (B.Tech.), Information Technology, Anna University Chennai

Profile highlights

I'm the person in every team who…: Supports all engineers

Public links

github: https://github.com/koundykarthik

medium: https://medium.com/@koundykarthik

youtube.com: https://youtube.com/@karthikshanmugam