Muhammad Umer
Turning complex AI into seamless web experiences users love.
New to Contra
Muhammad is ready for their next project!
Recruiters spend countless hours manually reviewing resumes, comparing candidate qualifications, and managing hiring pipelines.
Considering this problem I developed Developed HireIQ, an AI-powered recruitment platform that streamlines the entire hiring process by combining resume analysis, AI candidate scoring, and workflow automation into a single dashboard.
Key Features:
š„ AI-powered resume parsing and analysis
š„ Automated candidate scoring and ranking
š„ Resume-to-job matching
š„ Multi-step recruitment dashboard
š„ Candidate management system
š„ AI-generated hiring insights and recommendations
š„ Recruiter analytics dashboard
š„ Secure authentication and role-based access
š„ Modern responsive UI with dark theme
Impact it created:
š Reduced manual resume screening time by 90%
š Accelerated candidate shortlisting by 75%
š Improved recruiter productivity by 3Ć
š Reduced hiring workflow steps by 60%
š Enabled recruiters to evaluate 100+ resumes in minutes instead of hours
š Increased consistency in candidate evaluation through AI-driven scoring
0
7
HireIQ ā AI Recruiting Platform
HireIQ is a concept-stage AI HR tech platform designed to modernize how teams evaluate and hire talent. The platform transforms raw text inputs job descriptions and resumes into structured, actionable insights through four core modules.
Main Features:
š„ The AI Resume Screener scores any resume against a job spec in seconds, surfacing alignment, weaknesses, and fit potential.
š„ The Multi-Resume Ranker benchmarks multiple candidates in parallel using standardized criteria and objective metrics.
š„ The AI Interviewer auto-generates behavioural and technical questions tailored to the role's seniority and competency focus.
š„ The Bias Checker audits job descriptions for ageist, gendered, or exclusionary language and rewrites them for broader reach.
I created it using custom LLM prompt pipelines using Gemini 2.5 Flash for hyper-fair, standardized evaluation reports and consistent scoring without compromising candidate data privacy.
0
54
NOMAD is a luxury travel concept website built for a high-end travel curation brand, designed to show how generative AI can replace static destination guides with a real-time, personalized advisory engine. Beyond an elegant, editorial storefront showcasing the brand's travel philosophy across discovery, adventure, wellness, and culture, the site's centrepiece is an AI Custom Expedition Concierge, a tool that generates a complete, destination-specific luxury travel dossier on demand for any location a user types in. Built end-to-end: UX flow, visual design, and AI integration.
Key Features:
- AI Expedition Concierge: shoppers enter any destination (or pick from suggested sanctuaries like Kyoto or Santorini) and the AI generates a full advisory profile in seconds, including an evocative destination overview, hotel recommendations with ratings and pricing, must-see sights with ideal visit times, and local culinary picks with heritage notes.
- Verified Advisory Dossiers: each generated profile can be saved to a user's account, copied as a shareable link, or exported as a real, multi-page printable PDF dossier, turning AI output into a usable travel document rather than just on-screen text.
- Curated Concierge Advisories: alongside the generated content, the AI surfaces hyper-local etiquette tips, booking windows, and insider rules (e.g. when to book private viewings, seasonal crowd patterns) that go beyond generic travel-guide filler.
- Elite Stay & Sights Indexing: AI-generated recommendations are structured into clear categories (stay advisory, sacred sights, culinary escapes) with practical metadata like visit duration and "must do" call-outs for each entry.
- Full Storefront Build: a scroll-driven homepage with cinematic full-bleed imagery, editorial typography, and narrative sections (Wanderlust, Discovery, Adventure, Serenity, Culture, Horizon) that establish the brand's voice before guiding users into the advisory tool.
Tech/Tools: OpenAI, Python, Machine Learning, conversational AI integration
This is a concept build exploring how AI can turn a travel website from a static brochure into a living, on-demand concierge :generating a bespoke destination dossier in the time it takes to type a place name.
1
87
KOWEAR AI-Powered Fashion E-Commerce Website
KOWEAR is a full-concept AI fashion e-commerce website built for a futuristic techwear/luxury streetwear brand designed to show how generative AI can be woven directly into the shopping experience, not just bolted on as a chatbot. Beyond a cinematic, editorial-grade storefront, the site includes a conversational AI stylist, an AI outfit builder, a custom garment design studio, and an AI virtual try-on tool that lets shoppers see themselves wearing a piece before they buy. Built end-to-end: UX flow, visual design, and AI integration.
Key Features:
- AI Stylist Chat: a conversational assistant that takes a shopper's occasion, vibe, and budget and curates a complete look from the catalogue in real time, with suggested prompts to get started.
- Build My Outfit: a guided outfit generator where shoppers set a style vibe, colour palette, and budget via a slider, and the AI assembles a complete coordinated outfit (jacket, footwear, smart wearable, etc.) with reasoning for each piece and a one-click "Add Full Look to Bag."
- Design Studio: a parametric custom-garment generator: shoppers choose category, fabric, fit, vibe, and colour, and the tool renders a unique AI-generated garment image in seconds.
- AI Virtual Try-On: shoppers upload a photo, select a garment, fit, size, and colour, and the AI generates a realistic preview of them wearing it, with clear privacy messaging around how the photo is used.
- Full Storefront Build: homepage with hero, curated collections, signature drops, lookbook-style storytelling sections, social proof and reviews, and an Instagram-style "reels" feed, all styled in a dark, premium, cinematic aesthetic.
Tech/Tools: OpenAI, Python, Machine Learning, conversational AI integration
A concept build exploring where AI-native fashion retail is headed, from styling advice to fully custom, on-demand garment generation.
0
85