Available for new work
AI platforms, Kubernetes and cloud infrastructure, built to run in production
I'm a Lead Platform Engineer for AI with 9+ years in AWS, Kubernetes/EKS, Terraform, CI/CD and SRE. I help teams put AI agents, MCP services and RAG into production on infrastructure that is secure, observable and cheap to run.
Taking on consulting and freelance work, remote or in Singapore.
- 9+ years in cloud and platform engineering
- AWS Certified Solutions Architect – Professional
- Based in Singapore, working remotely
How I can help
Consulting
Architecture reviews and hands-on guidance for AI platforms, EKS, Terraform and observability: a second pair of eyes before you commit.
On request
Freelance projects
Fixed-scope delivery: an AI gateway or MCP server, an EKS platform, Terraform modules, CI/CD pipelines or an observability stack.
On request
Speaking and workshops
Talks and hands-on workshops on AI agents and MCP, Kubernetes, platform engineering and observability, for meetups and engineering teams.
On request
Mentoring
One-to-one sessions for engineers moving into cloud, DevOps, platform or AI engineering: career, interviews, certifications and code.
On request
What I've built in production
As Lead Platform Engineer, AI at S&P Global, and before that across AWS, Kubernetes and data platforms.
- An AI gateway that centralises LLM access, request routing and Amazon Bedrock-backed workflows.
- Custom Model Context Protocol (MCP) integrations that give AI agents operational tools and infrastructure context.
- AI agents and an SRE agent for incident investigation, diagnostics, knowledge retrieval and troubleshooting.
- An AI-assisted incident knowledge application (FastAPI, Ollama, Pinecone, RAG) for natural-language search of past incidents.
- Production EKS platforms for regulated workloads, with Istio mTLS, NetworkPolicies and OPA Gatekeeper.
- SLO/SLI-driven observability with Prometheus, Grafana, Alertmanager, Langfuse and CloudWatch, including error budgets.
- A custom Terraform importer and standardised AWS provisioning through Terraform and GitHub Actions across environments.
Selected work on this site
- RoboShop AIA polyglot microservices store with an AI shopping assistant, MCP tools and full observability, deployed with Argo CD.
- MOKSAn AI-assisted SRE investigation portal that works from live Kubernetes, Prometheus and Loki evidence.
- How jithendar.com runsA self-hosted Next.js platform on Kubernetes with PostgreSQL, R2, an admin, audit log, backups and full observability.
- Observability for a Next.js platformStructured logs, traces and metrics wired together, and the gaps a review found.
Skills
AI platform engineering
- Amazon Bedrock
- AI gateways
- Model Context Protocol (MCP)
- AI agents
- SRE agents
- RAG
- Langfuse
- LLM observability
Cloud, Kubernetes and CI/CD
- AWS
- Azure
- GCP
- EKS
- Kubernetes
- Docker
- Helm
- Argo CD
- Istio
- GitHub Actions
- GitLab CI
- Jenkins
Infrastructure as code and languages
- Terraform
- CloudFormation
- Packer
- Python
- Go
- Shell
- Node.js
- TypeScript
Observability and security
- Prometheus
- Grafana
- Loki
- Tempo
- CloudWatch
- OPA Gatekeeper
- Istio mTLS
- Wiz
- RBAC
Experience
Lead Platform Engineer, AI · S&P Global
Singapore · 12/2024 – present
Application Engineer · Adecco
Singapore · 03/2024 – 11/2024
Senior System Engineer · EPAM
Hyderabad · 01/2023 – 03/2024
Technical Lead · HCL Tech
Hyderabad · 10/2021 – 01/2023
Senior System Engineer · Wipro
Hyderabad · 10/2020 – 10/2021
System Administrator · CGS Inc
Hyderabad · 04/2019 – 06/2020
IT Support Engineer · Coreintegra
Mumbai · 04/2017 – 12/2018
How it works
Step 1
Intro call
A short call about your goal, your current setup and constraints. No preparation needed.
Step 2
Proposal
A written scope with deliverables, timeline and price, so you know exactly what you get.
Step 3
Delivery
Working code and infrastructure in your repositories, documented, with a hand-over your team can run.
Send an enquiry
Tell me what you're working on.