Jagwinder Singh
Full Stack Developer
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Jagwinder is ready for their next project!
Multi-Vendor E-Commerce Marketplace
Designed and developed a scalable multi-vendor e-commerce marketplace connecting customers, sellers, and administrators through a unified platform.
Overview
A modern marketplace platform built for multiple independent vendors, allowing sellers to manage products, inventory, orders, pricing, and fulfillment, while customers can discover products, compare options, purchase securely, and track their orders.
Key Features
- Multi-vendor seller registration and onboarding
- Seller dashboards with products, inventory, orders, and sales
- Advanced product catalog with categories, variants, attributes, and pricing
- Powerful search, filtering, sorting, and product discovery
- Product details, reviews, ratings, wishlist, and saved items
- Shopping cart and secure checkout
- Multiple payment methods and automated vendor payouts
- Order management and real-time order status
- Customer accounts, addresses, order history, and tracking
- Vendor storefronts and profiles
- Promotions, coupons, discounts, and featured products
- Admin dashboard for users, vendors, products, orders, payments, and commissions
- Vendor commission and revenue management
- Responsive design across desktop, tablet, and mobile
- Scalable architecture prepared for large product catalogs and growing traffic
UX & Design
The interface was designed around a clean, conversion-focused shopping experience inspired by leading marketplaces such as Amazon, eBay, Wayfair, etc.
The focus was on intuitive navigation, fast product discovery, clear product information, frictionless checkout, and dedicated experiences for both buyers and sellers.
Outcome
Delivered a complete marketplace foundation designed to support multiple vendors, thousands of products, secure transactions, automated workflows, and scalable business operations.
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AI Agent Tutor Mobile App
An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics.
Key Features:
> AI tutor conversations for learning any topic
> Personalized learning paths based on user goals and skill level
> Support for academics, professional skills, coding, languages, and general knowledge
> AI explanations, summaries, and concept breakdowns
> Practice exercises, quizzes, and knowledge improvement tools
> Voice and text-based learning interactions
> Learning history and progress tracking
> Adaptive AI responses based on user behavior
Key Contributions:
-- Developed a cross-platform mobile learning experience
-- Integrated AI/LLM technology for real-time tutoring interactions
-- Implemented secure authentication and data management
-- Optimized performance and user experience across devices
Outcome:
Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.
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Employee Productivity Monitoring System
Built a web-based Employee Productivity Monitoring System designed to help organizations track work activity, improve accountability, and gain insights into team performance in real time.
The system includes features such as activity tracking (keyboard/mouse usage metrics), application and website usage monitoring, task-wise time logging, and optional periodic screenshots for audit transparency. It provides role-based access for admins, managers, and employees with secure authentication and data segregation.
A real-time dashboard aggregates productivity metrics into visual reports, showing active vs idle time, productivity scores, and weekly performance trends. Managers can assign tasks, set productivity benchmarks, and export reports for HR or compliance use.
Focused on scalable backend architecture with efficient event logging, low-overhead tracking agents, and privacy-aware configuration controls to ensure compliance and minimal system impact.
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AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization
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Recruiters often spend hours manually reviewing resumes, comparing candidate qualifications, and identifying the best fit for open positions. To address this challenge, I developed an AI-powered Resume Screening and Candidate Ranking Platform that automates candidate evaluation, improves hiring efficiency, and reduces recruitment time.
๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ
Traditional recruitment processes involve reviewing hundreds of resumes for a single position. This manual approach is time-consuming, inconsistent, and often results in qualified candidates being overlooked. Recruiters needed a solution capable of quickly analyzing resumes, matching them against job requirements, and generating reliable candidate rankings.
๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป
I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment.
๐๐ฒ๐ ๐ณ๐ฒ๐ฎ๐๐๐ฟ๐ฒ๐ ๐ถ๐ป๐ฐ๐น๐๐ฑ๐ฒ:
- ATS-compatible resume parsing for PDF and DOCX files
- Automated extraction of skills, experience, education, certifications, and contact information
- AI candidate matching based on job descriptions
- Intelligent candidate scoring and ranking system
- Semantic skill matching using NLP techniques
- Automated shortlist generation for recruiters
- Recruiter dashboard for managing applications and rankings
- Bulk resume processing for high-volume recruitment
- Interview recommendation system based on candidate fit
- Fair and consistent evaluation framework to reduce manual bias
๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐ ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐
The platform was designed with scalability and accuracy in mind. The workflow begins by parsing uploaded resumes and extracting structured candidate data. AI models then compare candidate profiles against job requirements, analyzing technical skills, years of experience, educational background, and industry relevance.
A ranking engine generates compatibility scores and presents candidates in order of suitability. Recruiters can review detailed scoring insights, compare applicants, and make faster hiring decisions.
๐ฅ๐ฒ๐๐๐น๐๐
The solution significantly improved recruitment efficiency and candidate discovery.
๐ข๐๐๐ฐ๐ผ๐บ๐ฒ๐
> Reduced manual resume screening time by up to 80%
> Accelerated candidate shortlisting process
> Improved recruiter productivity and hiring speed
> Increased consistency in candidate evaluation
> Enabled processing of hundreds of resumes within minutes
> Enhanced talent identification through AI-driven matching
๐๐ผ๐ป๐ฐ๐น๐๐๐ถ๐ผ๐ป
This AI recruitment platform transforms traditional hiring workflows by automating resume screening, ranking candidates intelligently, and helping recruiters identify top talent faster, more accurately, and at scale.
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