Freelance Fullstack Engineers in DelhiFreelance Fullstack Engineers in Delhi
Design & development for Framer, Webflow & Shopify sites
$25k+
Earned
15x
Hired
4.9
Rating
116
Followers
Design & development for Framer, Webflow & Shopify sites
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
103
Followers
Versatile Fullstack Engineer | Web & Mobile Expert
CEO of Zappify: NoCode Specialist & Bubble Certified
$5k+
Earned
4x
Hired
5.0
Rating
27
Followers
CEO of Zappify: NoCode Specialist & Bubble Certified
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
5.0
Rating
27
Followers
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
Full Stack AI & Machine Learning Engineer
$1k+
Earned
1x
Hired
43
Followers
Full Stack AI & Machine Learning Engineer
Full Stack Developer
7
Followers
Full Stack Developer
Cover image for AI Resume Screening | Candidate
AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 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. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 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. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment. 𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - 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 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 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. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The solution significantly improved recruitment efficiency and candidate discovery. 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 > 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 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 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.
1
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High-Converting Web Architect (Next.js)
New to Contra
High-Converting Web Architect (Next.js)
Cover image for SkillMaarg: Next-Generation EdTech & AI
SkillMaarg: Next-Generation EdTech & AI Training Ecosystem SkillMaarg is an enterprise-grade digital ecosystem currently under intensive development, designed to disrupt the traditional marketing education space. The platform's core mission is to bridge the gap between legacy workflows and AI-driven reality, empowering professionals to achieve 10x productivity and deliver the output of five people. As the core developer for this project, I am architecting a high-performance, scalable web application using a premium stack consisting of Next.js, React, TypeScript, and custom CSS Modules, deployed via Vercel. I am responsible for migrating the brand from a generic template-based infrastructure to a fully custom, programmatic environment. Currently, I have successfully engineered the highly optimized, high-conversion Home and About pages, establishing a striking neo-brutalist design system with dynamic micro-animations and "Thumb-First" mobile architecture designed specifically for high-intent social traffic. This is a massive, multi-phase project with a highly sophisticated backend and third-party integration roadmap. The comprehensive architecture that I am responsible for implementing includes: Custom LMS & Authentication: Building a secure student portal (training.skillmaarg.com (http://training.skillmaarg.com)) featuring frictionless, OTP-based passwordless login for accessing premium course materials and recordings. E-Commerce & Payment Architecture: Integrating the PayU payment gateway for a seamless checkout experience. This includes engineering a custom cart system for modular "Bite-Sized Skills" that utilizes intelligent UI triggers for dynamic, bundled upselling. Enterprise CRM Integration: Developing direct API connections with CRMs like Meritto and LeadSquared for automated lead routing, pipeline management, and dynamic source attribution based on entry points. AIO (Agentic AI Optimization) & Technical SEO: Engineering the site architecture to be readable by both humans and LLMs. This involves implementing extensive Schema.org (http://Schema.org) and JSON-LD markup to optimize the platform for Generative Engine Optimization (GEO) and AI crawlers like ChatGPT and Perplexity. Advanced Tracking & Analytics: Integrating a robust data layer using Google Analytics 4 (GA4) and Meta Pixel with custom event tracking for precise user journey mapping. SkillMaarg represents a major architectural undertaking. It showcases my ability to build complex, scalable educational platforms from scratch—combining premium, conversion-focused UI/UX with deep third-party integrations, automated business logic, and forward-thinking technical strategies.
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Cover image for OranGenz is a premium, bespoke
OranGenz is a premium, bespoke full-stack e-commerce platform I engineered from the ground up for a brand specializing in 3D-printed lighting and décor. Moving away from generic SaaS builders like Shopify, I architected a custom digital storefront designed to drive serious revenue through a jaw-dropping UI and enterprise-grade performance. The Tech Stack: Next.js 16 (App Router), React 19, TypeScript, Supabase (PostgreSQL), Tailwind CSS v4, Framer Motion, Three.js, Razorpay, Upstash Redis, Zod, and PostHog. The Visual Experience: I engineered an immersive "Gen-Z" aesthetic heavily focused on high conversion. The frontend features custom WebGL shaders (Three.js), complex scroll-linked parallax animations (Framer Motion), physics-based smooth scrolling (Lenis), and a sleek dark-mode glassmorphism design hand-crafted with Tailwind. The Powerhouse Backend: Built to handle high traffic and secure transactions without breaking a sweat. I architected the database schema using Supabase, utilizing strict Row Level Security (RLS) and custom PostgreSQL RPCs (Stored Procedures) for atomic, real-time inventory tracking to completely eliminate the risk of overselling during product drops. Enterprise Security & Payments: I integrated a frictionless custom checkout flow via Razorpay. The server backend is secured with Upstash Redis rate-limiting to protect against DDoS/abuse and strict runtime payload validation using Zod. Status: Active Development: Note: This project is currently a Work-In-Progress (WIP). While the core architecture and premium aesthetics are established, I am continuously polishing features, optimizing edge-case performance, and squashing bugs as we iterate toward the final production launch.
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