Jatin Kumar

Full-Stack JavaScript Developer | React.js, Next.js, Node.js, Express.js | MongoDB & SQL | Building Scalable, Secure & High-Performance Web Applications

Jaipur, IndiaSoftware Development

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6roles

53skills

3education

4credentials

About

I’m a Full-Stack JavaScript Developer specializing in the MERN stack (MongoDB, Express.js, React.js, Node.js) and Next.js, focused on building modern, high-performance web applications. I have a strong foundation in both frontend and backend development, with hands-on experience designing scalable APIs, integrating databases (MongoDB & SQL), and creating responsive user interfaces that deliver seamless user experiences. My focus is on writing clean, efficient, and secure code, optimizing performance, and building solutions that make a real impact. I also have experience in teaching and mentoring as a Teaching Assistant at AlmaBetter, which strengthened my communication, problem-solving, and debugging skills. Currently, I’m seeking an opportunity as a Full-Stack or MERN Developer where I can contribute to a dynamic team, apply my technical expertise, and continue growing by solving real-world challenges. 💻 Tech Stack 🚀 Front-End: HTML, CSS, JavaScript, React.js, Next.js, Tailwind CSS, Bootstrap, Media Queries ⚙️ Back-End: Node.js, Express.js, MongoDB, SQL 🧠 Core Skills: MERN Stack, RESTful APIs, Authentication, Performance Optimisation 🗂️ Version Control: Git, GitHub 📱 Responsive Design: Tailwind CSS, Bootstrap, Media Queries 🧰 Tools & Utilities: Webpack, Babel, NPM, Yarn 🔥 Additional Skills: Firebase, Redis, AWS (Theoretical Knowledge)

Experience

Full-stack Developer

Tallento.ai

1 yr 3 mos · Jaipur, Rajasthan, India

Excited to contribute as a Junior Associate Software Developer at Tallento.ai, where I’m part of a dynamic team driving innovation and building scalable software solutions. In this role, I work on developing and improving full-stack web applications that align with industry standards and client goals, using technologies like React.js, Node.js, Express.js, and MongoDB. I collaborate closely with cross-functional teams to enhance performance, fix bugs, and deliver user-friendly, high-quality software. I’m continuously learning and improving my skills in modern frameworks, backend APIs, and cloud-based integrations, aiming to grow as a Full-Stack Developer and contribute to Tallento.ai’s mission of becoming a globally recognized tech-driven organization.

Full-stack Developer

PANHA Mental Health and Women's Safety

7 mos · Delhi, India

As a Full Stack Web Developer at Panha Technologies, I work with the MERN stack (MongoDB, Express.js, React.js, Node.js) to build dynamic, scalable web applications. My role includes integrating real-time communication features using Socket.io and PeerJS, enabling advanced interactive functionalities like live chat, video calls, and collaborative tools. I collaborate closely with the team to deliver clean, maintainable code and ensure seamless user experiences across the stack.

Teaching Assistant (Web Development)

AlmaBetter

7 mos

Full Stack Web Developer

Tallento.ai

March 2025 - Present · Jaipur, Rajasthan

Engineered an AI-powered resume parser using OpenAI and Gemini APIs, cutting manual review effort by approximately 60%. Developed an AI-based resume scoring system and resume generation features. Integrated the GitHub API to enrich candidate profiles, increasing profile accuracy by 40%. Engineered an automated job application system improving efficiency by 3x. Designed Node.js/Express backend workflows with Redis job queues, reducing average pipeline processing time by 50%. Optimized Core Web Vitals, improving frontend performance by 30–40%. Wrote optimized SQL queries and indexing strategies, improving data retrieval performance by 35%. Designed a scalable system for high-volume resume processing and concurrent job applications.

Full Stack Web Developer

PANHA

September 2024 - March 2025 · Remote

Built a real-time chat and video system using WebSockets, Socket.IO, and PeerJS. Developed an AI-powered chatbot using Brain.js, improving response efficiency by 25%. Built a responsive mobile-first UI using Tailwind CSS, reducing bounce rate by approximately 20% and improving average session time. Built scalable REST APIs and optimized MongoDB queries.

Teaching Assistant

Almabetter

March 2024 - September 2024 · Remote

Mentored 100+ students in React.js and Next.js through live doubt sessions and code reviews. Improved application performance using SSR, lazy loading, and code splitting. Guided students in building scalable frontend architectures. Worked with React.js performance optimization, UI animations, accessibility, SEO, API integration, Next.js SSR, and lazy loading.

Education

Maharshi Dayanand University (MDU), Rohtak

Bca

Jan 2021 - May 2024

Maa Saraswati Sr. Sec. School, Rohtak

Higher Secondary

March 2020 - April 2021

Pandit Neki Ram Sharma Govt. College, Rohtak

BCA (Bachelor of Computer Applications)

July 2021 - May 2024

Skills

Next.jsReact.jsNode.jsMySQLMongoDBTypeScriptRedux ToolkitTailwind CSSShadCNExpress.jsREST APIsWebSocketsOpenAI APIGoogle Gemini APILLM API IntegrationAI-driven automationAI content generationMongooseRedisAWS EC2AWS S3AWS LambdaVercelRailwayCI/CD PipelinesNginxOAuthFirebase AuthenticationRole-Based Access Control (RBAC)JWTSSRSSGISRReact Server ComponentsLazy loadingCode splittingCore Web Vitals optimizationJavaScript (ES6+)JestPostmanThunder ClientGitGitHubVS CodeLinuxGoogle APIsLinkedIn APIOAuth 2.0Socket.IOPeerJSBrain.jsAxiosFetch

Projects

Employer.Tallento.ai – AI Recruitment & Job Automation Platform

Developed an AI-driven recruitment platform focused on intelligent job matching, automation, and high-volume application processing. 🚀 Key Features: • Built Job Auto-Apply Engine that applies to relevant jobs based on skills, experience, salary, location, and notice period • Designed multi-parameter job filtering system for precise candidate-job matching • Implemented duplicate prevention logic to avoid re-applying to already processed jobs • Engineered backend workflows to handle large-scale job datasets and concurrent applications • Developed dynamic job listing, filtering, and tracking interfaces for real-time updates 🛠 Tech Stack: Next.js, React.js, TypeScript, Node.js, Express.js, MongoDB/MySQL, Redux Toolkit, Tailwind CSS 📈 Impact: • Reduced manual job application effort through automation • Improved job matching accuracy using intelligent filtering logic • Enabled scalable processing of high-volume job data and applications

Full Stack Developer – AI Resume Intelligence Platform

Worked on building an AI-powered resume analysis and generation platform designed to help candidates optimize their profiles for better job matching and recruiter visibility. Key Contributions: • Developed Resume Score Checker that evaluates resumes based on ATS compatibility, keyword matching, and structure • Built Resume Generation system with dynamic summary creation using AI • Designed and implemented multi-step resume form with validation using React Hook Form and Zod • Integrated file upload system to extract and auto-fill resume data via API • Optimized frontend performance and improved user experience across devices • Developed scalable backend APIs using Node.js and Express Tech Stack: React.js, Next.js, TypeScript, Node.js, Express.js, MongoDB/MySQL, Redux Toolkit, Tailwind CSS, Zod, React Hook Form Impact: • Improved resume quality and job matching efficiency • Reduced manual effort in resume creation by automating data extraction • Enhanced user engagement with AI-driven insights

To-Do Web App

A simple and efficient To-Do Web App built using MERN Stack (MongoDB, Express, React, Node.js). Features include adding, updating, deleting, and marking tasks as completed. Uses React Hooks, Context API/Redux, Tailwind CSS for UI, and Node.js with MongoDB for backend.

Shazma Music App

Shazma is a cutting-edge AI-powered application that combines the functionalities of a personal assistant with advanced music recognition and management capabilities. The app leverages the Redux Toolkit for state management, ensuring a seamless and efficient user experience. Shazma aims to help users discover music effortlessly and manage their daily tasks efficiently.

https://entertainment-frontend-one.vercel.app

Discover endless entertainment with entertainment-app Stream movies, TV shows, and music anytime, anywhere. Enjoy personalized recommendations, create playlists, and stay updated with the latest trends. Experience seamless, high-quality content for all your entertainment needs in one app.

Tallento.ai – AI-Powered Job Automation

Engineered an AI-powered resume parsing system and multi-stage candidate processing pipeline covering resume ingestion, structured parsing, candidate scoring, job matching, and automated application workflows. Architected asynchronous resume processing with Redis-based job queues and concurrent worker pipelines; implemented caching, database indexing, profile enrichment, GitHub repository analysis, AI-generated summaries, and a Next.js frontend using SSR and lazy loading.