Active
Generative AI Leader
Generative AI Leader Certification
Google Cloud · expires Sep 2028
Available for AI engineering & cloud architecture roles
Hi, I'm Rahul Monde.
I architect cloud platforms & ship AI agents.
Solution Architect & Technical Lead with 16 years across Azure, GCP and AWS. I modernize infrastructure with Kubernetes & Terraform, harden the SDLC with DevSecOps, and now build Agentic-AI workflows that take real load off engineering teams.
- 16years in tech
- 3major clouds
- 99.9%platform uptime
- +30%IaC velocity via Copilot
Cloud · DevOps · AI
- Azure
- Kubernetes
- Terraform
- Apigee
- RAG
- Agents
Currently studying AI-102 & building agents with Claude
// 01 — About
From Unix support to Agentic AI
I started out as a Unix L1 engineer in 2009 and grew into a Solution Architect & Technical Lead at Globant, where I lead cloud and DevOps engagements for enterprise customers. My day-to-day blends hands-on platform engineering with pre-sales architecture, talent strategy, and now Generative AI integration.
I'm AWS, GCP and Azure-certified, and I'm deepening my AI expertise — currently preparing for AI-102 (Designing & Implementing an Azure AI Solution) and recently completed Google Cloud's Generative AI certification. I experiment with Azure AI Foundry, Azure AI Search and Apigee-fronted GPT deployments. My next goal is to ship an agent of my own using the Claude Agent SDK.
I write on LinkedIn and Medium about the gnarly bits — debugging arcs, wrong hypotheses, and the small insights that save teams hours.
// 02 — Skills
What I bring to a team
Self-rated on a 1–5 scale: 1 = theoretical · 3 = independent · 5 = expert / can teach.
Cloud & Platform
DevOps & Automation
Languages & Tools
Observability & AI
// 03 — Certifications
13 certifications across Azure, GCP, AWS & CNCF
Active credentials, work in progress, and the depth of platform experience I've built over the years. Verified on Credly →
In progress
Microsoft Certified: Azure AI Engineer Associate
AI-102 · Designing & Implementing an Azure AI Solution
Microsoft · target 2026
Previously held
Lapsed credentials — skills and patterns retained, ready to renew on demand.
Microsoft Azure
- DevOps Engineer Expert
- Azure Security Engineer Associate
- Azure Administrator Associate
Google Cloud
- Associate Cloud Engineer
- Professional Cloud Architect
- Professional Data Engineer
Amazon Web Services
- Solutions Architect — Professional
- DevOps Engineer — Professional
- Solutions Architect — Associate
- SysOps Administrator — Associate
CNCF / Linux Foundation
- Certified Kubernetes Administrator
// 04 — Experience
16 years, six companies, one direction: up the stack
-
May 2019 — Present · 7 yrs
Solution Architect & Technical Lead — Cloud, DevOps, AI
Globant India Pvt. Ltd.
- Govern hybrid-cloud lifecycle on Azure & GCP, holding 99.9% uptime for client-facing APIs.
- Accelerated IaC delivery +30% using GitHub Copilot as a pair-programmer for Ansible, Python and Node.js automations.
- Engineered Node.js / Python utilities to extend the Apigee Edge platform with custom admin tooling.
- Embedded DevSecOps scanning (Mend, SonarQube, AquaSec, Checkmarx) into CI/CD pipelines.
- Deployed GPT models behind an Apigee proxy for rate limiting, load balancing & guardrails — reducing tokens and hallucinations.
- Built a sentiment-analysis agent inside Globant's Enterprise AI tool.
-
May 2016 — May 2019 · 3 yrs
AWS Cloud Engineer
Cognizant Technology Solutions
Designed and operated AWS workloads for enterprise customers — provisioning, hardening, and migrations.
-
Sep 2014 — Mar 2016 · 1.5 yrs
AWS Cloud Admin / Unix Administrator
Tata Consultancy Services
Hybrid AWS + Unix administration across regulated workloads. Patch, monitor, automate — repeat.
-
Aug 2012 — Sep 2014 · 2 yrs
Production Support Engineer
Cybage Software
Owned 24×7 production support for revenue-critical services — incident response, RCA, and runbook hardening.
-
Apr 2012 — Aug 2012
Unix Administrator
SANPulse
-
Nov 2009 — Apr 2012 · 2.5 yrs
Unix L1 Support Engineer
Tech Mahindra
Where it all started — tickets, terminals, and learning that "it works on my machine" is never an answer.
// 05 — Projects & Writing
Selected work
A mix of platform, automation and AI experiments. More on GitHub.
Sentiment-Analysis Agent
Embedded inside Globant's Enterprise AI tool. Classifies free-form feedback streams and routes them to the right squad.
- LLM
- Prompt engineering
- Guardrails
GPT-on-Apigee Gateway
GPT models deployed behind a Google Apigee proxy with rate limiting, load balancing and customer-codebase context — cutting tokens & hallucinations.
- Apigee
- OpenAI/Azure OpenAI
- Node.js
Pipeline Hardening Suite
Mend, SonarQube, AquaSec and Checkmarx wired into Azure DevOps + GitHub Actions, with vulnerability triage runbooks.
- Azure DevOps
- GitHub Actions
- SAST/SCA
Copilot-Augmented Terraform & Ansible
Reorganized IaC repos for human + AI pair-programming. Result: ~30% faster delivery without sacrificing review depth.
- Terraform
- Ansible
- GitHub Copilot
CoreDNS on AKS — incident write-up
Production incident I led: name-resolution failures on an AKS-hosted Microgateway. Walk-through of the symptoms, the diagnostic path through CoreDNS, conntrack and NodeLocal DNS, and the lessons that fed our reliability roadmap.
- AKS
- CoreDNS
- Kubernetes networking
- Incident response
Kubernetes Troubleshooting Assistant
Working RAG assistant on Azure OpenAI (text-embedding-3-small, GPT-4o) and Azure AI Search (HNSW vector index, top-3 retrieval), exposed as a Flask HTTP API. Knowledge base covers 11 K8s failure modes; answers constrained to retrieved context to prevent hallucination.
- Azure OpenAI
- Azure AI Search
- HNSW
- Flask
- Python
// 06 — Contact
Let's build something
Best for: cloud architecture reviews, platform engineering, AI/agent integration, technical leadership.