Freelancers using TypeScript in Delhi
Freelancers using TypeScript in Delhi
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AKASH VASHISHTHA
pro
Delhi, India
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
112
Followers
Top
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Versatile Fullstack Engineer | Web & Mobile Expert
1
Madklubben Online Reservation Modernization
1
24
2
TestBest | LSAT® Prep & Tutoring
2
155
1
Realm - Social Media Platform for Music Producers and Artists
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136
0
Légacie Phase 1
0
20
TypeScript
(2)
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Hritwik Tripathi
pro
Delhi, India
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
5.0
Rating
30
Followers
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AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
1
Bazaar - Fractional NFT
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9
1
🏆 Sahyogi - (Hack-a-Solution Hackathon Winner)
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6
1
Zero to 500 DAOs: Building Sismo's Governance Layer
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7
1
Powering $2M+ TVL: Real-Time NFT20 Protocol Data with Subgraph
1
7
TypeScript
(5)
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Nick K
New Delhi, India
Full-Stack Developer, MVP and SaaS Expert
1x
Hired
5.0
Rating
19
Followers
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Full-Stack Developer, MVP and SaaS Expert
0
Code to Figma- Convert Any Webpage to Editable Figma Layers
0
8
1
Portfolio - Nikhil Kadam
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7
1
Quickflow
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9
2
really liked how this bento turned out! a glimpse of originfivestudios (https://originfivestudios.com) ✈️
2
128
TypeScript
(3)
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Rahul Kasana
Delhi, India
Senior FullStack Developer
5.0
Rating
8
Followers
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Senior FullStack Developer
0
Pulse Web App
0
8
0
Saathi React Native App
0
9
0
Kisi Web App
0
15
0
Saarathi App
0
17
TypeScript
(4)
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Chaitanya Bajpai
Delhi, India
Fullstack web and blockchain developer, crafting secure apps
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Fullstack web and blockchain developer, crafting secure apps
0
Veritas | Permissionless Ecosystem Funding
0
7
0
Price Findrr
0
8
0
code100x/tiplink
0
11
0
SnipSavvy
0
6
TypeScript
(3)
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Om Shukla
Delhi, India
Websites & automations. AI-native workflow, design-led.
$5k+
Earned
18
Followers
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Websites & automations. AI-native workflow, design-led.
1
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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🌿 Just built something beautifully strange for the Bubble x Contra Bloom challenge. It’s called GRAFT. Two people upload: 📸 a selfie 💬 one line about their relationship AI then performs a “grafting ceremony” and fuses them into ONE living bloom-creature that somehow feels emotionally true to both people ✨ 🌱 faces collide 🫀 roots connect 🌸 a new organism blooms alive And the creature can evolve over time through re-grafting. Try it here → https://graft-75845.bubbleapps.io/version-test?debug_mode=true #Bubble #BloomWithBubble #AI #buildinpublic
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🐉 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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Syntra — AI Productivity Engine Most productivity apps expect you to organize your life. Syntra does it for you ⚡ You start with a messy brain dump 🧠 Syntra converts it into structured tasks, a 7-day plan, and real-time insights — instantly. The interface itself was generated using Paper MCP 🧩 → turning abstract system logic into a fully designed, interactive UI in real time. → bridging idea → structure → interface seamlessly. Try: 🔗 https://syntra-493723.uc.r.appspot.com/ (https://syntra-493723.uc.r.appspot.com/)🔗 https://github.com/omshukla24/Syntra Built with: ⚙️ Next.js + TypeScript 🧠 Google Gemini 2.5 Flash 💾 localStorage (no backend / no DB) 🎨 CSS Modules (no Tailwind) 🎬 Framer Motion 🧩 Paper MCP Runs entirely locally 🔐 No setup. No manual planning. Just chaos → structure → execution 🚀
8
18
588
TypeScript
(1)
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Divya Jyoti Darpan
Delhi, India
Senior InDesign, Publishing & AI Creative Specialist
New to Contra
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Senior InDesign, Publishing & AI Creative Specialist
1
Built: Framer Preflight — A Launch Readiness Plugin for #Framer Designed and shipped a full launch-readiness plugin for the Framer Marketplace, helping creators verify their websites before publishing. The plugin combines 22 deterministic automated checks across seven categories (Content, SEO, Links, Images, CMS, Redirects, and Publish Safety) with a 16-item manual Publish Checklist for the critical launch tasks that can't be automated. It also includes a Live Audit mode that validates the published website in a real browser. Project link is: https://www.framer.com/community/marketplace/plugins/framer-preflight/
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Just shipped and passed Framer's Community review for Accessibility Fixer — a WCAG accessibility plugin I built for Framer, covering UNLIMITED canvas scanning, guided fixes, real-browser auditing, and client-ready reports. 😊 What made this one different: Framer's security review process was genuinely rigorous, multiple rounds covering permission handling, content-injection safety, third-party script architecture, and destructive-action confirmations. Every round meant real engineering, not just checkbox fixes, including catching and removing dormant code with latent risk, fixing a data-loss bug in the process, and rebuilding the plugin's live-auditing architecture from scratch to meet platform security standards. 🚀 Looking forward to your feedback. 🙌 Live on the Framer Community now. https://www.framer.com/community/marketplace/plugins/accessibility-fixer/
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I created From Ink to Intelligence, a cinematic story about how human creativity has evolved through every generation of tools—from ink and printing to publishing, accessibility, and AI. Using Renoise, I directed every scene with detailed prompts covering cinematography, production design, lighting, sound, and visual storytelling to create a seamless, emotionally driven film that feels both timeless and future-focused. #RenoiseChallenge
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A fully AI-generated commercial advertisement(Concept Advertisement (Unofficial)) created from concept to final edit. This project showcases premium product visualization, cinematic storytelling, dynamic camera movements, realistic lighting, and high-end visual effects. Designed for modern digital marketing, social media campaigns, and brand promotions using advanced AI creative workflows.
0
35
TypeScript
(2)
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Harshit Shakya
Delhi, India
Full-Stack Developer | Building Fast AI Integrated websites.
New to Contra
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Full-Stack Developer | Building Fast AI Integrated websites.
0
CASCADE OS: Neuro-Adaptive Cognitive Routing System
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4
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FITHAUS: Reimagining Fashion Commerce
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4
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What if recipe apps felt less like tools and more like companions? Introducing Sous (https://stitch.withgoogle.com/preview/11633371536292961535?node-id=7c95e74d44bc48ccae2bc0a2e3450eb1) — a motion-first cooking experience with hands-free mode, contextual meal planning, living interfaces, and immersive food interactions. Most recipe apps assume users are fully focused on their screens while cooking. In reality, cooking is messy, fast, and hands-busy. So I designed Sous. Features include: • Hands-free cooking mode for uninterrupted workflows • Adaptive meal planning based on available ingredients • Motion-rich interactions and immersive recipe exploration • Smart collections and contextual recipe discovery • A visual system inspired by premium culinary experiences How Google Stitch helped: Google Stitch became part of the workflow instead of just another design tool. I used it to rapidly move from rough concepts to interactive interfaces, iterate directly on screens using AI edits, experiment with layouts faster, and refine motion-heavy experiences without rebuilding everything repeatedly. Stitch made it easier to: → Explore multiple interface directions quickly → Iterate components in-place with AI feedback loops → Build interaction-heavy screens faster → Focus more on UX decisions instead of repetitive UI work → Prototype a more “alive” interface through motion and interaction experimentation The goal wasn’t just to design another recipe app — it was to create an interface that feels present while you cook. ✨ Try the prototype → Prototype (https://stitch.withgoogle.com/preview/11633371536292961535?node-id=7c95e74d44bc48ccae2bc0a2e3450eb1) Would love feedback on the interactions, motion system, and cooking workflow. #UIDesign #UXDesign #ProductDesign #AIWorkflow
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NotAI - End-to-End Leaning Platform
1
6
TypeScript
(1)
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