Freelance DevOps Engineers in DelhiFreelance DevOps Engineers in Delhi
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Shivang Tiwari's avatar
Shivang Tiwari
New Delhi, India
DevOps Engineer | Cloud Infrastructure | Scripting
DevOps Engineer | Cloud Infrastructure | Scripting
Cover image for Cloud Native Resource Monitoring Python App on K8s
Cloud Native Resource Monitoring Python App on K8s
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Cover image for Inbox Delivery Test Tool Development | Automation python script
Inbox Delivery Test Tool Development | Automation python script
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5
Cover image for Reddit Clone App Deployment on Kubernetes
Reddit Clone App Deployment on Kubernetes
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DevOps Engineer(3)
Vikram Sinha's avatar
Vikram Sinha
New Delhi, India
Backend, Fullstack, DevOps Engineer
Backend, Fullstack, DevOps Engineer
Cover image for Full Stack Developer, Gamix Labs
Full Stack Developer, Gamix Labs
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Cover image for Technology Lead, Credgenics
Technology Lead, Credgenics
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24
Cover image for Web Developer, Spotflik
Web Developer, Spotflik
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21
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DevOps Engineer(2)
Om Shukla's avatar
Om Shukla
Delhi, India
Websites & automations. AI-native workflow, design-led.
$5k+
Earned
22
Followers
Websites & automations. AI-native workflow, design-led.
Cover image for That makes total sense. A
That makes total sense. A lot of portfolio platforms like Contra don't support LaTeX rendering, so those equations just end up looking like broken code. Here is the revised version with the math translated into clean, readable plain text so it formats perfectly on the site. AuraOps: The Autonomous Unified Release Authority 🚀🧠 Moving AI from "Assisting Developers" to "Making Production Decisions" Modern CI/CD pipelines are reactive. They lint, test, and warn—but the final decision still depends on a human. As DevOps complexity grows with security risks, compliance requirements, and sustainability concerns, developers are overwhelmed. We asked a simple question: What if the pipeline itself could decide whether code is safe to ship? That idea led to AuraOps—a multi-agent AI system integrated directly into GitLab Merge Requests that doesn’t just analyze code, but actively fixes it, verifies it, and makes the final release decision. 💡 How It Works: The Autonomous Pipeline AuraOps intercepts GitLab webhooks when a Merge Request is opened, extracts the code diff, and triggers a 3-phase autonomous pipeline powered by specialized AI agents. The Execution Flow: Phase 1 (Parallel): Security & Sustainability Analysis Phase 2 (Sequential): Validation & Risk Decision Phase 3 (Parallel): Compliance Checks & Deployment 🤖 The Multi-Agent AI System AuraOps orchestrates several distinct agents to handle the entire lifecycle: SecurityAgent: Detects vulnerabilities (SQLi, XSS, secrets), auto-remediates them by writing and committing patches, and re-validates its own fixes. GreenOpsAgent: Optimizes infrastructure using real-time carbon data and suggests lower-emission deployment regions. ValidationAgent: Runs the GitLab CI/CD pipeline to ensure AI-generated fixes didn’t break functionality, with graceful fallbacks if CI is down. ComplianceAgent: Audits code and deployment against SOC2, GDPR, and HIPAA requirements. DeployAgent: Builds and deploys the application to Google Cloud Run, selecting the greenest, most optimal region. RiskEngine (The Brain): The decision-making core that aggregates all signals into a single release scorecard and outputs a definitive APPROVE or BLOCK. 🧮 The RiskEngine Decision Model To confidently block or approve a release without human input, we engineered a weighted decision model to generate a final confidence score. The core confidence score combines three key weighted metrics: Security Score * Eco (Sustainability) Score * Validation Result The final AI decision function evaluates this combined score against a strict threshold. For example, if the total confidence score is 75% or higher, the release is securely shipped and marked as APPROVE. If it falls below that mark, the system automatically outputs a BLOCK decision to prevent risky deployments. 🧗‍♂️ Engineering Challenges Reliable Auto-Remediation: Detecting issues is easy; safely fixing them is not. We implemented multi-pass revalidation (up to 3 cycles) and auto-commits directly to GitLab. Failure Resilience: Real-world systems fail. We built AuraOps with graceful degradation—handling CI failures by safely skipping them, retrying API rate limits with exponential backoff, and bypassing missing configs without crashing. Sustainability as a Metric: Mapping cloud infrastructure to real-time carbon intensity APIs to quantify exact CO₂ savings. 🚀 The Final Output: The Release Scorecard Instead of overwhelming the developer with logs, AuraOps outputs a clean, aggregated scorecard directly in the MR containing: Security score & vulnerabilities auto-fixed Sustainability index & CO₂ emissions avoided Time saved via automation Final AI Decision + Confidence Percentage 💻 Built With AI Models: Gemini 2.5 Flash | Gemini 3.5 Pro | Claude 3.5 Sonnet Backend & Orchestration: Python | FastAPI | Uvicorn | Node.js | TypeScript Frontend & 3D Vis: React | Three.js (React Three Fiber) | CSS DevOps & Cloud: Docker | GitLab API & Webhooks | GitLab CI | Google Cloud Build | Google Cloud Run Try AuraOps : https://auraops-735853806237.europe-north1.run.app/dashboard
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Cover image for 🖼️ What if a painting
🖼️ What if a painting could capture what a photograph never could? Not a photograph. Not exactly what happened. But the way it felt. In a quiet lakeside town, there’s a little shop where people bring the things that hold the memories they’re afraid of forgetting. A photograph. An old letter. A childhood keepsake. And behind the canvas is Elias. 🎨 THE MEMORY PAINTER Elias listens to what people can't quite say, then turns what they remember into a painting. For this 120-second pilot, I built the world from the ground up in Cantina — Elias, his shop, the characters, environments, dialogue, sound, and the entire cinematic story. But this isn't really a story about painting other people's memories. Because eventually, Elias finds one of his own. A memory he had spent years avoiding. And just when he begins to face it... Someone arrives at his door. He looks up. So... what's your story? And that's where the real story begins. 🌌 I wanted The Memory Painter to feel like the first episode of a much larger world — where every visitor brings a different memory, a different story, and perhaps another piece of Elias's past. A quiet lakeside town of old trains, photographs, paintings, and memories worth preserving. Built in Cantina. A small shop. A lot of memories. This is only the beginning. ✨ Character: https://cantina.com/i/7o1yi Pilot: https://cantina.com/i/1wqy5
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Cover image for 🐉 Dragon in the Drawer. A
🐉 Dragon in the Drawer. A child drew a dragon. 💬 And said: “the dragon is mad because the people woke him up… so now he’s burning all the buildings and they’re running.” 🎬 I turned that into a film. ✨ Just a drawing, a sentence, and a name — and it becomes a full story: Character → Story → Animation → Film — ❤️ This project is close to my heart. I built it for a girl named Angel. She was very ill when she was born. Our whole family prayed for her. She survived — so we called her Angel, because that’s what she felt like to us. I haven’t seen her in a while… but I wanted to create something she could feel. — 🌱 Because every child deserves to see their imagination come alive. Not just as drawings… but as stories they can watch, feel, and remember ✨ — Try👇 https://studio.morphic.com/en/workflows/019dca9f-eb8f-7392-b81d-bffe4a8a388f/dragon-in-the-drawer
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Cover image for Altus — A Breathing Travel
Altus — A Breathing Travel Experience Most travel apps are static itineraries. Altus breathes with your journey. Studied these on Mobbin before designing: • Arc → restrained glassmorphism • Airbnb Luxe → aspirational travel cards • Oura → cinematic, mood-first design No static grids. No cluttered menus. • Cinematic Home → live mood-driven backgrounds • Explore → frosted destination cards • Trips → immersive booking details Cinematic, translucent, alive. Try Altus: https://altus-app--omshukla619.replit.app/ Altus doesn’t just book trips. It immerses you in the destination.
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DevOps Engineer(1)
Dishant Arora's avatar
Dishant Arora
Delhi, India
AWS & Terraform DevOps Engineer | Docker, GitHub & CI/CD
New to Contra
AWS & Terraform DevOps Engineer | Docker, GitHub & CI/CD
Cover image for I just opened a service
I just opened a service for teams who need a clean, isolated AWS environment - done right the first time, with Terraform so it's actually reproducible (not a pile of manual console clicks only one person understands). What I set up: ✅ Isolated staging/prod environments (proper VPC structure) ✅ IAM roles with least-privilege access ✅ Everything in Terraform — version-controlled, documented ✅ A handover doc so your team isn't locked to me Background: 12+ years in backend & cloud engineering, hands-on with AWS (Lambda, API Gateway, EC2), Docker, and Linux infra. If your AWS environment feels fragile, undocumented, or "nobody really knows how this was built" — that's exactly what I fix.
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Cover image for Multi-environment AWS infrastructure with Terraform
Multi-environment AWS infrastructure with Terraform
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Cover image for Node.js API deployed via GitHub Actions to AWS
Node.js API deployed via GitHub Actions to AWS
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Cover image for WordPress site on AWS (S3
WordPress site on AWS (S3 + CloudFront + Terraform)
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DevOps Engineer(5)
Pallavi Purohit's avatar
Pallavi Purohit
Delhi, India
Helping brands find their visual voice.
New to Contra
Helping brands find their visual voice.
Cover image for The last page
The last page
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Cover image for You’re planning a birthday dinner.
You’re planning a birthday dinner. You’ve found the restaurant, but there’s still a cake message to share, a cosy corner to request, and a surprise you hope won’t get lost along the way. That’s where Marigold began. I wanted the little details to travel with the reservation. Guests plan their occasion, and the restaurant team receives clear, assigned tasks to bring it together. Hand-drawn illustrations give the booking experience a little warmth. Behind the scenes, a staff desk helps the team know what needs to happen next. Designed and built with Lovable for the Contra challenge 🔥 Demo prototype: payments and notifications are simulated 🙌
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Cover image for First Contra case study: LIVE! 🥳 And with that, I’m officia...
First Contra case study: LIVE! 🥳 And with that, I’m officially available for hire and actively looking for brand design projects. I’m excited to work with people building something thoughtful, ambitious, weird, wonderful — or all of the above. If you have a brand that needs a little more you in it, let’s make something. 🍋
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Cover image for Nimbu Labs - Logo & Brand Identity
Nimbu Labs - Logo & Brand Identity
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DevOps Engineer(1)
Pranav Chauhan's avatar
Pranav Chauhan
Delhi, India
Web, Android & iOS Dev | UI/UX Expert
Web, Android & iOS Dev | UI/UX Expert
Cover image for Matrix (Built on top of Kafka-ES-Redis)
Matrix (Built on top of Kafka-ES-Redis)
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Cover image for TECHWEEK - AN IEEE PRODUCT
TECHWEEK - AN IEEE PRODUCT
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Cover image for Moksha-Innovision web app
Moksha-Innovision web app
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DevOps Engineer(1)
Ashwani Kumar Puri's avatar
Ashwani Kumar Puri
Delhi, India
React/Next.js dev — I fix slow sites in 48 hours
New to Contra
React/Next.js dev — I fix slow sites in 48 hours
Cover image for Two production apps run on
Two production apps run on a five-year-old laptop in my room. Nginx handles TLS and routes subdomains to Docker containers; PostgreSQL sits behind them; an Ollama model runs locally as a fallback for the AI features. I built it this way because managed platforms hide the layer where things actually break. Doing my own deploys, certs, and recovery means that when a client's app goes down in production, I've already debugged that layer — on hardware I couldn't just re-provision.
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Cover image for My own site, built from
My own site, built from scratch — Vite and React, CSS Modules, no template and no UI kit. I designed the type scale and the color system myself rather than pulling in Tailwind or a component library, mostly because I wanted to own the CSS layer instead of routing around it. Deployed on Vercel. Live at ashwanipuri.com (http://ashwanipuri.com).
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Cover image for A placement portal for a
A placement portal for a college campus. Three roles with different access — students apply and track their applications, companies post drives, admins run the whole cycle. Role-based access control with JWT auth, Prisma and PostgreSQL underneath, containerized with Docker. Self-hosted rather than on a managed platform, so deployment and uptime were mine to handle too. Live at gradplacifyr.kodeforgelabs.com (http://gradplacifyr.kodeforgelabs.com).
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Cover image for A psychometric assessment platform built
A psychometric assessment platform built for a career-guidance client. Students take structured tests; the system scores them and generates their profile reports. React and TypeScript on the front end, Node/Express and PostgreSQL behind it. The part worth talking about is the deployment. The client was already on Hostinger shared hosting, which serves static files fine but can't run a Node process. Instead of moving them to a new provider mid-project, I split the stack — frontend on Vercel, API on Render, database staying on Hostinger. It shipped without them changing anything they were already paying for. Live since June 2026, and I've maintained it on a freelance basis since.
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DevOps Engineer(1)