Freelancers using TypeScript in DadriFreelancers using TypeScript in Dadri
Full Stack Developer | MVPs, SaaS & Dashboards for Startups
$10k+
Earned
5x
Hired
4.9
Rating
24
Followers
Full Stack Developer | MVPs, SaaS & Dashboards for Startups
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
5.0
Rating
30
Followers
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
Senior FullStack Developer
5.0
Rating
8
Followers
Senior FullStack Developer
Fullstack web and blockchain developer, crafting secure apps
Fullstack web and blockchain developer, crafting secure apps
Websites & automations. AI-native workflow, design-led.
$5k+
Earned
18
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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Building high-performance web applications that scale.
New to Contra
Building high-performance web applications that scale.
Cover image for The Problem -
Despite growing awareness
The Problem - Despite growing awareness of climate change, there is a significant disconnect between awareness and action among students. Traditional environmental education is often seen as: Academic & Passive , Overwhelming, Unrewarded The Solution - We have built a platform that transforms environmental protection into an interactive adventure. By gamifying sustainability, we provide: A Sense of Identity: Students become "Yoddhas" (Warriors) with their own digital avatars. Incentivized Action: Real-world tasks (like waste segregation) earn digital rewards and "Prakriti Points." Community & Competition: School-based Eco-Clubs and national leaderboards foster a sense of collective purpose and healthy competition. How It Works - The platform follows a simple but powerful "Path of a Yoddha": Create Your Yoddha: You start by signing up and creating a unique digital identity (Avatar) and joining your school's squadron. Mission Control (Dashboard): Your central hub where you see your "Daily Missions," track your "Eco-Score," and view your rank on the national leaderboard. The Core Loop (Learn, Act, Earn): Learn: Engage with interactive mini-games and visual lessons about the environment. Act: Take physical action in your community (e.g., segregate waste, plant a sapling, reduce plastic). Earn: Upload proof of your action to earn Prakriti Points (PP). Level Up: Use your points to unlock prestigious badges (Bronze, Silver, Gold) and upgrade your avatar’s gear. Real-World Impact: Your individual score contributes to your school and community goals, helping witness tangible change like community cleanups and national reforestation efforts.
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Cover image for Project Title: All Projects (Centralized Portfolio
Project Title: All Projects (Centralized Portfolio & AI Management System) 1. The Problem Developers often struggle with two distinct challenges: Portfolio Management: Keeping track of multiple web projects, their source code, live demos, and technical configurations (like environment variables) in a single, organized place. Interview Preparation: Preparing for technical interviews for specific projects. Explaining the architecture, implementation choices, and challenges of a project you built months ago can be difficult without targeted practice. 2. Solution My project is a premium, centralized management ecosystem that serves as both a professional portfolio and an interactive interview coach. It provides a high-end visual dashboard to showcase your work while integrating a powerful AI Interview Agent (powered by xAI's Grok-beta) that helps you master the technical details of your own creations. 3. Key Features Premium Glassmorphic Dashboard: A sleek, modern UI built with React and Framer Motion, featuring dynamic 3D backgrounds (Three.js) and a high-end aesthetic. Full-Stack Project Management: Securely add, edit, and delete projects via a Supabase backend. Store detailed metadata: Descriptions, Key Features, Tech Stacks (categorized), GitHub links, and Live URLs. Secure Env Storage: A dedicated space to keep your project's environment variables (API keys, etc.) for quick reference. AI Interview Agent (Powered by Grok-beta): Interactive Chat: A mock interviewer that "reads" your project's data and asks rigorous technical questions about your architecture and implementation. Topic Analysis: Automatically generates project-specific questions, hints, and ideal answers to help you prepare for real-world interviews. Advanced Search & Filtering
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