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Rahul Kalsha
Surat, India
Angular expert delivering high-performance web app
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Angular expert delivering high-performance web app
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Patient Management System
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24
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Trademart Digital Marketplace – Brussel
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19
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MarketTime Informative Site
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10
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DMC Customizable Site
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14
GitLab
(4)
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Valentina Fernandez
pro
Buenos Aires, Argentina
Sr Project Manager
$25k+
Earned
1x
Hired
36
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Sr Project Manager
1
Harlow Desktop Application
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33
1
Creative Project Manager
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37
1
Design Operations Manager
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46
0
Mundo Reposteras
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16
GitLab
(1)
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Louis Dodou
Lagos, Nigeria
The AI Trick That Closed $10K While I Slept
5.0
Rating
19
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The AI Trick That Closed $10K While I Slept
2
Single AI Agent with Notion & GitLab Tool Routing One agent. Two tools. Decides what to do and where to send it — automatically. Built an n8n AI agent workflow triggered via webhook that passes the request to a Tools Agent powered by OpenAI with simple memory. The agent has access to two tools Notion for creating pages and GitLab for creating issues and decides which to use based on the input. The output then passes through an if/else condition that routes the webhook response down the appropriate path depending on the outcome. A clean, reusable pattern for any scenario where an AI needs to decide between multiple actions and return the right result to the right endpoint. Stack: n8n · Webhooks · OpenAI · Notion · GitLab · Router
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101
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About Louis Dodou
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244
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Medicare Gooogle Calendar Appointment Setter
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265
1
Full Vapi Build
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171
GitLab
(1)
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Sijin Kumar
Bengaluru, India
AI Studio for Premium Fashion & Brand Visuals
New to Contra
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AI Studio for Premium Fashion & Brand Visuals
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AI SKIMS Concept For this SKIMS ad concept, the client needed a flawless, high-end summer editorial. Crafting cohesive, multi-subject scenes with hyper-realistic lighting and water interactions is a massive generative AI challenge, but we made the final result look completely effortless. Pure, sun-drenched perfection
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Landing Page Honestly, getting AI to generate six models in one shot without them turning into distorted mutants is a nightmare. Usually, it's just a glitchy mess. But for this landing page, we cracked it. By staggering the guys on the mountain and locking down a super clean color palette, we guided the AI perfectly so the subjects didn't bleed together. We took one of the hardest things to pull off in AI fashion a massive, multi-subject panorama and made it look like an effortless, high-budget editorial.
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An AI fashion editorial we created, imagining a moodboard for a travel bag brand. We took a few still AI-generated images and animated the movement to bring the whole scene to life. It’s a great way to visualize how accessories and clothing look in motion.
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We design high-fidelity, hyper-realistic fashion editorials using AI. This project showcases our ability to conceptualize cohesive streetwear collections, complete with custom graphic apparel , distressed textures, and dynamic model posing. Perfect for fashion brands looking to visualize garments, storyboard campaigns, or build mood boards before going into physical production.
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81
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Eesha Tiwari
Bengaluru, India
Helping startups build fast, modern web apps.
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Helping startups build fast, modern web apps.
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Kasturi — Luxury Indian Fragrance Experience Role: Frontend Developer & UI/UX Designer Project Type: Luxury E-commerce / Brand Experience Industry: Beauty & Fragrance Overview Kasturi is a concept for a modern luxury fragrance house rooted in Indian heritage. The goal was to move away from a traditional perfume e-commerce experience and create a digital presence that feels cinematic, premium, and story-driven. The visual direction draws inspiration from iconic Indian fragrance ingredients such as jasmine, rose, saffron, sandalwood, and vetiver — combining traditional elements with a contemporary luxury aesthetic. What I Worked On I designed and developed the complete digital experience, focusing on: Luxury-focused UI/UX and visual direction Responsive frontend development Immersive product presentation Story-driven brand sections Smooth interactions and transitions Premium typography and editorial layouts Mobile-first responsive experience Conversion-focused product discovery The Challenge Most fragrance websites follow a predictable product-grid approach. For Kasturi, I wanted the website itself to communicate the emotion behind the fragrance before asking the customer to purchase it. The challenge was balancing Indian heritage, modern minimalism, and luxury e-commerce usability without making the experience feel overly traditional or visually crowded. The Solution I built the experience around visual storytelling — allowing ingredients, textures, typography, whitespace, and product imagery to gradually introduce the world of Kasturi. The result is a digital concept that positions an Indian fragrance brand with the visual language and experience expected from a contemporary global luxury house. Built with: React.js • TypeScript • Modern CSS • Responsive UI • Interactive Web Experiences
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Not every collaboration begins in a boardroom. Some begin in culture. Introducing a new visual series exploring what happens when global luxury aesthetics meet Indian heritage, craftsmanship, silhouettes, textures, and stories. Minimal. Cinematic. Rooted. Built with: React.js • Three.js • GSAP • Framer Motion • Tailwind CSS Inspired by: Indian architecture, embroidery, handcrafted artistry, luxury fashion campaigns, and modern digital storytelling. This is not nostalgia. This is heritage reimagined. by Eesha Build #indianheritage #luxurydesign #creativedirection #uiux #webdesigner
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12
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PROJECT-1
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10
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Eesha Tiwari (@eeshabuilds) • Instagram photos and videos
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1
GitLab
(1)
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vigneshwar L
Pallavaram (Contonment), India
Backend & systems dev — Rust, Go, Python, databases
New to Contra
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Backend & systems dev — Rust, Go, Python, databases
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A browser-based tool that turns any GitHub repo into an instant, visual "intelligence report." You paste a GitHub URL and get a full dashboard back — no sign-up, no auth, no friction. It's a developer-tool / analytics product. Core features Health Score (0–100) — production-readiness rating across 7 quality dimensions, with letter grades Language pie chart — interactive breakdown of language composition Commit heatmap — GitHub-style 52-week activity grid Contributor rankings — top 10 contributors with avatars + metrics Smart dependency detection — parses package.json, requirements.txt, Cargo.toml, go.mod, pom.xml, Gemfile File tree browser — collapsible directory viewer with file-type icons README rendering — full GitHub-flavored Markdown with syntax highlighting Share cards — export a PNG summary for social media Tech stack LayerTechFrontendReact 18, Vite, Tailwind CSS, Recharts, react-markdownBackend (optional)Python 3.12, FastAPI, httpx, file-based caching, slowapi rate limitingDeployGitHub Pages (frontend), Railway (backend, optional) How it works The frontend runs entirely in the browser and talks directly to GitHub's REST API — that's why the live demo needs no setup or login (limited to ~60 requests/hour unauthenticated). The FastAPI backend is optional, and only exists to add caching and rate-limit relief when you self-host. Run it locally Or docker compose up --build.
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AI Agent Skills Workflow Framework Development
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Most RAG systems have two problems that nobody talks about enough. The first is semantic drift — your retriever pulls in chunks that look relevant (high cosine score) but don't actually answer the question causally. Ask "Why did Lehman Brothers collapse?" and you'll get back chunks about the 2008 housing crisis — same vocabulary, but those are the consequences, not the cause. Cosine similarity can't tell the difference. The second is context poisoning — even if each individual chunk is okay, a window full of semi-relevant chunks confuses the LLM. It attends to all of them, averages them out, and hallucinates. VORTEXRAG fixes both. It's a 7-layer pipeline I built specifically around these two failure modes. Each layer has a specific job:
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Development of datamend Python Library
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3
GitLab
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Edin Selimovic
Tuzla, Bosnia and Herzegovina
Software Architect | Mobile, Cross-Platform & GenAI
New to Contra
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Software Architect | Mobile, Cross-Platform & GenAI
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Standardized CI/CD across Android and iOS using Bitrise, GitHub Actions, and Jenkins — with integrated SAST/DAST security scanning baked into every release. On the observability side, established full crash reporting and performance monitoring with Sentry, Embrace.io (http://Embrace.io), and Prometheus. The team went from slow, error-prone manual releases to a pipeline with built-in security gates and real-time incident visibility. Result: significantly shorter release cycles, faster incident response, and a release process that multiple teams could ship through independently. Bitrise · GitHub Actions · Jenkins · SAST/DAST · Sentry · Embrace.io (http://Embrace.io) · Prometheus
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Built a native Android quiz app centered around Auratar-based interactions. Users progress through personality-driven or knowledge-based quiz flows with dynamic Auratar visuals, smooth animations, and a responsive UI designed for engagement and replayability. The goal was to make a calm self-reflection app that gives you a fast entry point with Quick Test and a deeper path with Full Test. Built with Jetpack Compose, MVVM, REST API integration, and custom animations throughout. Android / Kotlin · Jetpack Compose · Animations · REST API · MVVM
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Built a production pipeline on AWS Bedrock that ingests app store reviews at scale, classifies sentiment, clusters themes, and surfaces actionable product insights in near real-time. Before this, the team relied on a manual weekly reporting process — slow, inconsistent, and always lagging behind what users were actually saying. The pipeline replaced that entirely with automated ingestion, NLP-driven analysis, and structured output product teams could act on immediately. Result: manual weekly reporting replaced with automated, near-real-time insight delivery. AWS Bedrock · Python / FastAPI · S3 · NLP · LLM
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Architected a mobile banking app across Android and iOS with security and compliance as the foundation, not an afterthought. Implemented OAuth 2.0/OIDC auth flows, biometric authentication, RASP protection, and encrypted local storage for sensitive financial data. Designed a modular feature architecture that let multiple teams own and ship their domains independently. Result: zero critical security incidents post-launch, clean regulatory audits, and a codebase teams could actually scale. Kotlin · Swift · OAuth 2.0/OIDC · Biometric Auth · RASP · Modular Architecture
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73
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Tom Svorobovich
Warsaw, Poland
Pixel Perfect UI & Product Designer
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Pixel Perfect UI & Product Designer
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7VPN Product Design
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13
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Ligo - Parcel delivery app design
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13
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onlyjobs.it
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