Platform Engineering
Internal developer platforms and golden paths that turn repetitive ops into self-service.
- Kubernetes
- GitOps
- ArgoCD
- Helm
- Terraform
Independent platform engineering & DevEx
Platforms that let developers ship faster, safer.
Kwintar is the independent practice of Renjith Ravindranathan - helping teams build cloud-native platforms, golden-path developer experiences, and production-ready LLMOps. 14+ years across the full software lifecycle.
What I do
Five ways Kwintar moves your engineering forward
From platform foundations to AI in production and the docs that make it all usable - one partner across the stack.
DevOps
Modern CI/CD, IaC and DevSecOps foundations across AWS, Azure and GCP - repeatable and secure by default.
- GitLab CI
- GitHub Actions
- Azure DevOps
- Terraform
- Renovate
Developer Experience
Reusable CI/CD components, paved roads and self-service tooling that cut cognitive load and time-to-productivity.
- CI/CD Components
- Paved roads
- Shift-left security
- DORA
LLMOps
AI-native SDLC with MCP agents, LLM gateways, token governance and observability - GenAI in production without runaway cost.
- LiteLLM
- MCP
- Bedrock
- Vertex AI
- LangChain
Technical Writing
Architecture guides, runbooks and onboarding material that make complex platforms clear and adoptable.
- Docs-as-code
- Architecture
- Runbooks
- Articles
Not sure where to start?
Book a short discovery call and we'll map the highest-leverage next step for your platform.
Let's talkAbout Kwintar
Engineering with a platform-as-a-product mindset.
I'm Renjith Ravindranathan, a senior platform & DevOps engineer based in the Netherlands with 14+ years of experience building enterprise and AI-native developer platforms across AWS, Azure and GCP.
Through Kwintar I partner with engineering teams to modernise CI/CD, architect reusable golden paths on Kubernetes, and drive a genuine shift-left security culture - treating the platform as a product with developers as its customers.
Most recently I've focused on embedding AI workflows into the SDLC via MCP-based agents, LLM gateways and LLMOps practices (token optimisation, guardrails, observability) so teams can go from idea to deployed model in minutes, not days.
How we work
A pragmatic path from problem to platform
Lightweight, collaborative, and outcome-driven - engagements are shaped around your team's real bottlenecks.
01
Discover
Map current workflows, pain points and DORA baseline to find the highest-leverage wins.
02
Design
Architect the golden path - secure, reusable, and self-service by default.
03
Build
Ship it as code: templates, IaC, pipelines and observability, with your team in the loop.
04
Enable
Document, hand over and coach so the platform outlives the engagement.
Writing
Sharing what I learn in production
Deep-dive guides on platform engineering, AI infrastructure and developer experience.
LLMOps
Running LLM inference on Kubernetes
LiteLLM, KServe and vLLM with Prometheus, Grafana and DCGM for GPU-aware observability.
Developer Experience
Golden paths with GitLab CI Components
Reusable, secure CI/CD components and self-service pipelines that cut developer toil.
Platform
GitOps at scale with ArgoCD + GitLab
A pragmatic pull-based delivery model for multi-tenant Kubernetes workloads.
Let's build a platform your developers love.
Available for freelance and contract engagements across the EU - remote or hybrid in the Netherlands.