SHAHEER SHAHZAD
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    Shaheer Shahzad
    SHAHEER SHAHZAD
    ©2026 Shaheer Shahzad. All rights reserved.
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    SoleMate Backend hero

    backend project

    SoleMate Backend

    Comprehensive Backend Service for Tinder-Style Sneaker Discovery Platform

    SOLEMATE

    Overview

    SoleMate Backend is a foundational API service for an intelligent sneaker recommendation platform with Tinder-style concept. Built with Node.js and Express, it provides core functionality for user management, personalized shoe recommendations, and brand preference handling. The platform includes a similarity-based recommendation algorithm and user preference tracking system, though some core features are still in development.

    duration
    1 week
    team Size
    1 Backend Developer (me)
    role
    Backend Developer
    type
    Node.js Backend API Service
    category
    E-commerce & Recommendation Systems

    Stack

    Node.jsExpress.jsJavaScript ES6+MongoDBMongoose ODMJSON Web Tokens (JWT)bcryptcryptoSneaksAPIStockX IntegrationGOAT IntegrationNodemailerGmail SMTPnodemondotenvCORS middlewareexpress.json()custom authentication middlewarefile system utilitiescrypto utilitiesES6+ modulesasync/awaitRESTful API principlesJWT authenticationbcrypt password hashingOTP security systemsHTML email templatesBase64 image processingMongoDB aggregationRecommendation algorithmsMulti-factor scoringProduct similarity analysisExternal API integrationReal-time data processingSecure file uploadEmail delivery systemsUser preference managementBrand loyalty trackingDynamic content curationScalable architecture designModular code organizationError handling systemsInput validationSecurity middlewareSession management

    Capabilities

    • 01Secure User Registration and Authentication
    • 02Email-based Account Creation with Password Hashing
    • 03JWT Token-based Session Management
    • 04User Profile Management with Image Upload
    • 05Gender and Brand Preference Configuration
    • 06Password Reset with OTP Email Verification
    • 07JWT-based Authentication System
    • 08Bcrypt Password Hashing with Salt
    • 09OTP Generation and Email Verification
    • 10Secure Password Reset Flow

    Pressure tests

    CHALLENGE_01

    Intelligent Recommendation Algorithm Development

    Developed a multi-factor similarity algorithm that analyzes silhouette, colorway, and price range compatibility. Implemented weighted scoring system that prioritizes exact silhouette matches (3 points), shared colorways (1 point per shared color), and price range compatibility (2 points for <$50 difference, 1 point for <$100 difference). Algorithm foundation ready with some implementation bugs to be resolved.

    CHALLENGE_02

    Complex User Preference Management

    Created flexible user schema with brand preference arrays and gender-based filtering. Implemented preference update endpoints that allow users to refine their taste profile, with initial recommendations based on selected brands when no interaction history exists. Designed system to learn and adapt to user behavior over time.

    CHALLENGE_03

    Real-time Product Data Integration

    Integrated SneaksAPI for real-time product information and implemented efficient product filtering based on user interactions. Created comprehensive product data structure with resell pricing from multiple platforms (StockX, GOAT). Established foundation for handling thousands of sneaker products with dynamic pricing updates.

    CHALLENGE_04

    Secure Authentication System Architecture

    Built comprehensive authentication system with JWT tokens, bcrypt password hashing, and OTP-based password reset. Created secure email delivery system with HTML templates and time-limited OTP expiration. Implemented token-based authorization middleware for protected routes, though connection to main application pending.

    CHALLENGE_05

    Modular Architecture for Scalability

    Implemented modular Express.js architecture with separate routes, models, middleware, and utilities. Created organized file structure supporting horizontal scaling and easy feature additions. Designed API endpoints following RESTful principles for frontend integration flexibility.

    Achievements

    • ▸Successfully implemented foundational multi-factor recommendation algorithm for sneaker matching
    • ▸Created comprehensive authentication system with JWT and OTP-based password reset
    • ▸Built flexible user preference management system supporting 30+ premium sneaker brands
    • ▸Integrated SneaksAPI for real-time sneaker data and pricing information
    • ▸Developed intelligent product filtering system excluding disliked items
    • ▸Implemented secure password hashing with bcrypt and salt generation
    • ▸Created modular Express.js architecture supporting scalable development
    • ▸Built comprehensive user schema with interaction history tracking
    • ▸Implemented HTML email template system for user communications
    • ▸Designed weighted scoring algorithm for personalized recommendations
    • ▸Created foundation for Tinder-style swipe interface backend support
    • ▸Implemented base64 image processing for user profile pictures
    • ▸Built dynamic preference update system for evolving user taste
    • ▸Created comprehensive error handling and validation system
    • ▸Implemented JWT token-based session management
    • ▸Designed flexible MongoDB schema for user preferences and products
    • ▸Built foundation for resell price integration from multiple platforms
    • ▸Created API structure ready for mobile and web frontend integration
    • ▸Implemented gender-based product filtering system
    • ▸Built comprehensive brand preference selection with 30+ brands
    • ▸Created intelligent initial recommendation system for new users
    • ▸Implemented secure file upload system with validation
    • ▸Built time-limited OTP system with automatic expiration
    • ▸Created modular route organization for maintainable codebase
    • ▸Implemented asynchronous processing for improved performance
    • ▸Built comprehensive API documentation structure
    • ▸Created environment-based configuration for deployment flexibility
    • ▸Implemented consistent JSON response format across all endpoints
    • ▸Built foundation for recommendation engine caching and optimization
    • ▸Created scalable database indexing for frequently queried fields
    • ▸Implemented secure email delivery with Gmail SMTP integration
    • ▸Built comprehensive user interaction tracking for preference learning
    • ▸Created foundation for advanced analytics and user behavior insights
    • ▸Implemented modern ES6+ JavaScript features throughout codebase
    • ▸Built comprehensive middleware system for authentication and validation
    • ▸Created foundation for rate limiting and API security measures
    • ▸Implemented flexible product metadata management system
    • ▸Built comprehensive colorway analysis and matching algorithm
    • ▸Created foundation for machine learning integration in recommendations
    • ▸Implemented secure token validation and refresh system
    • ▸Built comprehensive database relationship management
    • ▸Created foundation for advanced search and filtering capabilities
    • ▸Implemented scalable file storage system for user content
    • ▸Built comprehensive API testing and validation framework readiness

    Next step

    SoleMate Backend

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