01
Platform
Developer Platforms
Internal developer platforms, Backstage portals, golden paths, and self-service that shorten the path from idea to production.
- IDP
- Backstage
- GitOps
Platform EngineeringAI InfrastructureAgentic SystemsDevOpsCloud NativeKubernetesTerraformCI/CDObservabilityOpen Source
Platform & AI Infrastructure Hub
Links / Hub.
0000
available for workOpen to collaborationsHyderabad, IN · UTC+5:30
Harshhaa Vardhan Reddy
/
Platform Engineer
Platforms, AI infrastructure, and agents that help teams ship faster. Based in Hyderabad, India.
- Platform Engineering
- DevOps & GitOps
- AI Infrastructure
- LLMOps
- GenAI & AI Agents
- Model Context Protocol (MCP)
- AI Product Development
- Kubernetes & Cloud
5+
Years in platform & DevOps
40+
Production blueprints
250K+
Engineers reached
10
Engineering domains
Operator Profilelive
identity.cardverified
HR
5+ yrsHarshhaa Vardhan Reddy
Platform & AI Infrastructure
Hyderabad, IN
local--:--
open to buildPFE-2026
F
38 links · 0 saved
Quick tags:
Featured.
7
Current Focus.15 tracks
A rolling snapshot of what I'm building, breaking, and learning right now — across platform, infrastructure, and applied AI.
North star
Make shipping AI products as boring and reliable as deploying any other service.
Areas of Expertise.12 domains
Platform Engineering & IDP01
Enterprise DevOps & CI/CD Pipelines02
Production Kubernetes (EKS, AKS)03
AI Infrastructure & GPU Clusters04
LLMOps, vLLM & Local Model Serving05
Autonomous AI Agents & Workflows06
Model Context Protocol (MCP) Servers07
RAG Architectures & Vector Search08
Full-Stack AI Application Development09
Infrastructure as Code (Terraform, Ansible)10
Full-Stack Telemetry (OTel, Prometheus, Grafana)11
Open-Source Engineering & Blueprints12
GitHub Activity.@NotHarshhaa
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Engineering Profile.Curriculum Vitae
Platforms, AI infrastructure, and agents that help teams ship faster. Hands-on platform engineering, declarative infrastructure with Terraform, Kubernetes container orchestration, and automated GitOps CI/CD pipelines across cloud providers.
Full engineering profileexpandcollapse
Building scalable inference infrastructure, GPU-accelerated Kubernetes nodes, model deployment with vLLM and Ollama, vector search retrieval (Qdrant, pgvector), and MLflow experiment tracking.
Architecting autonomous agent workflows with LangGraph and LangChain, developing custom Model Context Protocol (MCP) servers to interface LLMs with cloud APIs and DevOps tooling, and multi-agent coordination.
Leading the end-to-end design, implementation, and deployment of user-facing AI products, intelligent platform automation bots, and self-service developer portals.
Prolific builder with 40+ production DevOps & AI project blueprints, educational docs, and open-source tooling empowering 250,000+ engineers globally.
02
AI Infra
AI Infrastructure
GPU-accelerated Kubernetes, high-throughput inference with vLLM and Ollama, vector search, and dependable LLMOps foundations.
- vLLM
- GPU
- Qdrant
03
Agentic
Autonomous Systems
MCP servers, LangGraph workflows, and A2A coordination that let agents operate real cloud and DevOps tooling safely.
- MCP
- LangGraph
- A2A
04
Product
AI Products
End-to-end AI products — retrieval, tool calling, evaluation, and interfaces people actually enjoy using every day.
- Next.js
- FastAPI
- RAG
Learning Hub.12 resources · open access
01
Docs Portal
DevOps, Cloud & AI documentation
02
Projects Hub
Hands-on real-world projects
03
Kubernetes Learning
Beginner → CKA
04
Docker to Kubernetes
Complete container journey
05
MLOps Generator
Production-ready MLOps templates
06
DevOps Generator
DevOps project scaffolding
07
AWS Infra Generator
AWS infrastructure templates
08
Monitoring in a Box
Observability stack
09
AI Platform Engineering
AI infrastructure resources
10
Agentic AI
AI Agent learning resources
11
MCP Learning
Model Context Protocol resources
12
Repositories Hub
Open-source projects
Resources & Docs.
31