Skip to content
View mchittineni's full-sized avatar
:octocat:
🚀 Writing magic, one line at a time. Testing so future me doesn’t hate me!
:octocat:
🚀 Writing magic, one line at a time. Testing so future me doesn’t hate me!
4 followers · 7 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Block or report mchittineni

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mchittineni/README.md
header banner

Typing SVG

LinkedIn Email Portfolio GitHub

experience clouds focus Profile views

🧭 Professional Summary

Cloud, DevOps, and AI Engineer with 6+ years designing, building, securing, and operating scalable cloud-native and hybrid infrastructure across Azure, AWS, and GCP now extending that foundation into production GenAI and agentic-AI engineering.

Currently engineering the cloud-native infrastructure underpinning a Speckle-based design ecosystem and a Databricks data platform, integrating data-engineering workflows into the broader ecosystem. Deep, hands-on expertise in Infrastructure as Code (advanced, modular Terraform with remote state), Kubernetes, and YAML-driven pipeline design combined with DevSecOps (Zero Trust, least-privilege IAM, policy-as-code, secrets management, GDPR / SOC 2) and solid SRE + FinOps discipline focused on reliability, observability, and cost optimisation.

Formally trained as an AI engineer through Anthropic and OpenAI certification tracks, shipping LLM-powered applications, agents, subagents, and agent skills, building on the Model Context Protocol, and deploying Claude on Amazon Bedrock and Google Cloud Vertex AI applying the same IaC, CI/CD, security, and FinOps controls used for platform engineering.

🙋 About Me

name: Manideep Chittineni
role: Cloud · DevOps · AI Engineer
experience: 6+ years
now_building:
  - Cloud-native infra for a Speckle-based design ecosystem (AWS + GCP)
  - Databricks data platform — Unity Catalog, cluster policies, job orchestration
  - GenAI & agentic-AI tooling on Bedrock & Vertex AI under platform governance
clouds: [AWS, Azure, GCP, OCI]
ask_me_about: [Platform Engineering, IaC, Kubernetes, DevSecOps, SRE, FinOps, GenAI, MCP]
mindset: AI-fluency + deep platform engineering = secure, governed, cost-aware AI systems

🤖 AI & GenAI Engineering

🧠 LLM Application Development
Claude API & OpenAI APIs, Claude Code, prompt engineering, tool/function calling, structured outputs, evaluation & RAG patterns 		🕹️ Agentic AI
Agents, subagents & agent skills; multi-step agentic workflows & orchestration; reliable tool-using autonomous systems
🔌 Model Context Protocol (MCP)
MCP foundations & advanced topics; building/integrating MCP servers & clients to connect LLMs with enterprise tools and data 		☁️ LLMOps & Cloud AI Platforms
Claude on Amazon Bedrock & Google Cloud Vertex AI same IaC, CI/CD, security & FinOps discipline as platform engineering
🛡️ Responsible & Applied AI
AI capabilities & limitations, AI Fluency frameworks, and driving safe, governed AI adoption across education, nonprofit, and small-business contexts

🧰 Tech Stack

☁️  Cloud cloud
🤖  AI & GenAI
🚢  Containers & Orchestration containers
⚙️  Infrastructure as Code terraform
🔁  CI/CD & Config Mgmt cicd
📈  Observability observability
🛡️  Security & DevSecOps
🗄️  Data Platforms db
💻  Languages languages

💼 Experience

☁️ Cloud Engineer — Infoplus Technologies
Borehamwood, UK · Mar 2026 – Present
  • Cloud-native infra (AWS + GCP) for a Speckle ecosystem & Databricks platform provisioning 3 days → <2 hours.
  • Modular Terraform framework, 25+ reusable modules w/ remote state 100% repeatable deploys, drift −70%.
  • Managed Kubernetes on GCP at 99.9% availability; autoscaling cut idle compute −25%.
  • Prototyped GenAI/agentic-AI in platform tooling (Claude API, OpenAI, MCP) manual toil −30%.
  • LLMOps on Bedrock & Vertex AI reusing IaC/CI-CD/identity/FinOps zero new security findings.
 🎓 Senior Cloud & DevOps Engineer — University of Exeter
Exeter, UK · Oct 2022 – Dec 2025
  • Hybrid + AWS platforms supporting 50,000+ users at 99.99% uptime.
  • Serverless architectures (Lambda, API GW, SNS/SQS, DynamoDB) + multi-account governance (Orgs, Control Tower, SCPs).
  • Zero Trust least-privilege IAM, federated identity (SSO/OIDC, RBAC/ABAC); Secrets Manager + KMS rotation.
  • Security Hub, GuardDuty, Config aligned to GDPR / SOC 2 incident response −50%.
  • FinOps (RIs, Spot, autoscaling, rightsizing) cut spend −45%; mentored 5+ engineers.
🛠️ DevOps / Platform Engineer — Procadence Technologies
Brentford, UK · Apr 2021 – Sep 2022
  • GKE clusters running 200+ microservices for 15+ teams at 99.9% uptime; utilisation +30%.
  • Reusable Terraform IaC for IAM & governance drift & manual effort −60%.
  • Keyless CI/CD via Workload Identity Federation eliminated 100% of long-lived SA keys.
  • Multi-tenant isolation (namespaces, RBAC, IAM Conditions) + Zero Trust via IAP zero cross-tenant incidents.
 👨‍💻 Software Engineer Intern — Procadence Technologies
Brentford, UK · Jun 2020 – Mar 2021
  • Automated Azure provisioning (ARM) across 150+ subscriptions manual effort −45%.
  • Azure DevOps CI/CD with automated testing & secure deploys release effort −35%.
  • Centralised secrets via Key Vault; Entra ID RBAC & service principals at scale.
  • Zero Trust via Azure Policy, Management Groups & Conditional Access (MFA + device compliance).

📦 Featured Work


Modular Terraform Framework
25+ modules · AWS + GCP · remote state · 100% repeatable
Speckle on GKE
Managed K8s · autoscaling · 99.9% availability
Databricks Data Platform
Unity Catalog · cluster policies · job orchestration
Agentic Platform Tooling
Claude API · OpenAI · MCP · Bedrock + Vertex AI

📊 GitHub Activity

GitHub stats Streak stats

Top languages

Contribution activity graph

Trophies

contribution snake animation

🗓️ Contribution & Coding Insights

📅 Contribution Calendar 🌟 Activity Overview
full-year contribution calendar full metrics dashboard
💡 Coding Habits 📈 Habit Facts
coding habit charts coding habit facts

🎓 Certifications

☁️ Cloud, Infrastructure & Data 🤖 AI & Generative AI

🟢 AWS Demonstrated: * AWS Agentic AI Demonstrated Application Networking * Incident Response * Serverless


🚀 Thanks for visiting let's build secure, governed, cost-aware systems.
Cloud · DevOps · AI · Platform Engineering · SRE · FinOps · DevSecOps

footer

Popular repositories Loading

  1. mchittineni mchittineni Public

    1 1

  2. mchittineni-portfolio mchittineni-portfolio Public

    My Portfolio

    HCL

  3. Terraform-Scripts Terraform-Scripts Public

    for Validating Terraform Iac

    HCL

  4. leetcode leetcode Public

    Forked from neetcode-gh/leetcode

    Leetcode solutions

    JavaScript

  5. eks-terraform eks-terraform Public

    A complete Infrastructure-as-Code (IaC) solution for deploying a high-availability, cloud architecture using Terraform. This project showcases DevOps best practices for managing and provisioning cl…

    HCL

  6. go-web-app-devops go-web-app-devops Public

    Forked from iam-veeramalla/go-web-app-devops

    Complete DevOps implmentation for a go web app

    HTML