Freelancers using Quant-UX
Freelancers using Quant-UX
Sign Up
Post a job
Sign Up
Log In
Filters
1
Projects
People
Message
0
Lewis Myatt
AI-Powered Market Intelligence Tool Design for Cord
0
14
Message
0
Katherina Perez
Fixit Proyecto Final UX/UI
0
7
Message
1
Oleksii Strichyk ✽
max
Web3 Yield Trading Platform Product Design
1
50
Message
5
Yurii Funkendorf
pro
Bricksecret App UX/UI Design Project
5
13
Message
3
Saira N 𐙚˚.
SaaS solutions Providers & marketing agency website redesign
3
7
Message
4
Irfan Baig
pro
Netti Mobile App Design Full UXUI App
4
9
Message
0
studio neil
Luxury Real Estate UI UX| Figma| Framer| Webflow
0
4
Message
1
Yuri Yang
AI-Powered Medical B2B Platform Design
1
10
Message
1
arman molani
A quick look at an ultra-immersive perfume boutique concept featuring high-end 3D glass physics, smooth transitions, and minimalist editorial typography (Atelier Noir vibe). Built with React & Tailwind. What do you think of this immersive product reveal? Drop your thoughts below! 👇
1
145
Message
2
Denys Kucher
Project Title: Quantum Prism: Autonomous Hardware Diagnostics AI Description: Designed an autonomous multi-agent AI system that diagnoses complex laptop motherboard faults. The architecture uses Claude Code as the terminal orchestrator, managing sub-agents in self-hosted n8n via the Model Context Protocol (MCP). Instead of generic AI wrappers, this system relies on a Python FastAPI microservice for computer vision (analyzing boardviews/schematics) and a Qdrant Vector DB for RAG-based hardware theory. It enforces a strict, zero-hallucination diagnostic cycle based on exact physical values (Volts/Ohms/Pins) to navigate from a raw symptom to a precise component verdict.
2
67
Message
0
Raed Makhloufi
MedPath Student Medical Portal UX/UI Design
0
0
Message
0
Alexandros Shomper
Knauf Unified Identity Platform Project
0
8
Message
0
Muhammad Ammar
Smart HRM Application
0
1
Message
0
Eugen Krug
BeWell App UX/UI
0
8
Message
1
TULASI KRISHNAKUMAR
Developed a full-stack, real-time quantitative trading analytics dashboard. The frontend is built on Next.js (React 19) and integrates TradingView's Lightweight Charts to display live candlestick data, technical indicators (EMA ribbons), and order execution flags. The backend, driven by Express.js, stream-calculates technical indices (such as RSI and EMA crossovers) from WebSocket tick feeds and broadcasts trade signals at sub-second speeds.
1
54
Message
1
Samuel Ajibade
TalentFlow LMS Landing Page Design
1
6
Explore projects
