Karandeep Singh profile photo 1 on Tal

Karandeep Singh

MERN Stack Developer | Full Stack Engineer | React.js, Node.js, Next.js, MongoDB | AI Integration | Docker, AWS, CI/CD | DSA & Problem Solving

India

< 1 year of work experience

Skilligence
Jun 20253 mosAug 2025

Engineered and deployed 3+ full-stack web applications using React.js, Node.js, Express.js reducing average page load time by 30% through optimized component rendering and API response caching. Built and shipped SyncCode, a real-time code collaboration platform supporting 10+ concurrent users via WebSocket integration, backed by MongoDB on cloud infrastructure (Railway). Designed and implemented 15+ RESTful API endpoints with JWT-based authentication and role-based authorization, reducing unauthorized access incidents to zero during QA testing.
Skilligence- Be Future Relevant
Jun 20252 mosJul 2025

Rohini, Delhi, India

InternsElite
Jun 20233 mosAug 2023

Integrated 2 machine learning models into production web applications using Python frameworks, enabling AI-driven features for 500+ end users. Developed 5+ data preprocessing pipelines and backend APIs powering AI dashboards, improving data ingestion speed by 25% through optimized ETL scripts. Optimized application performance by refactoring 3 core backend modules, achieving a 20% reduction in average API response time across AI-driven endpoints.

Education

Geeta University

Bachelor of Technology - BTech, Computer Science

Geeta University

20224 yrs2026

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Headline

MERN Stack Developer | Full Stack Engineer | React.js, Node.js, Next.js, MongoDB | AI Integration | Docker, AWS, CI/CD | DSA & Problem Solving

About

Building products that solve real problems—not just projects that sit on GitHub. I'm a MERN Stack Developer and Computer Science undergraduate passionate about creating scalable web applications, real-time systems, and AI-powered products. My expertise spans React.js, Next.js, Node.js, Express.js, MongoDB, and cloud deployment. I enjoy turning ideas into production-ready solutions while focusing on clean architecture, performance, and user experience. During my Full Stack Development internship, I engineered and deployed multiple web applications, improving page load performance by 30% through optimization techniques. I also built a real-time code collaboration platform using WebSockets to support concurrent users. Previously, as an AI Intern, I integrated machine learning models into production applications serving 500+ users and developed data pipelines that improved processing efficiency by 25%. Beyond internships, I've built projects such as ResumeIQ, an AI-powered resume analyzer, and a full-stack URL Shortener with analytics, authentication, and Dockerized deployment. Currently, I'm seeking Software Engineer, Full Stack Developer, and MERN Stack opportunities where I can contribute to impactful products, grow alongside talented teams, and deepen my expertise in scalable systems, cloud technologies, and AI-driven applications. I'm especially excited about building solutions at the intersection of Full Stack Development, Generative AI, and modern web technologies. Let's connect and build something meaningful.

Location

India

Work experience

Development Intern at Skilligence, Jun 2025 - Aug 2025 · 3 mos, Engineered and deployed 3+ full-stack web applications using React.js, Node.js, Express.js reducing average page load time by 30% through optimized component rendering and API response caching. Built and shipped SyncCode, a real-time code collaboration platform supporting 10+ concurrent users via WebSocket integration, backed by MongoDB on cloud infrastructure (Railway). Designed and implemented 15+ RESTful API endpoints with JWT-based authentication and role-based authorization, reducing unauthorized access incidents to zero during QA testing.

Full-stack Developer at Skilligence- Be Future Relevant, Jun 2025 - Jul 2025 · 2 mos, Rohini, Delhi, India

Artificial Intelligence Intern at InternsElite, Jun 2023 - Aug 2023 · 3 mos, Integrated 2 machine learning models into production web applications using Python frameworks, enabling AI-driven features for 500+ end users. Developed 5+ data preprocessing pipelines and backend APIs powering AI dashboards, improving data ingestion speed by 25% through optimized ETL scripts. Optimized application performance by refactoring 3 core backend modules, achieving a 20% reduction in average API response time across AI-driven endpoints.

Education

Bachelor of Technology - BTech, Computer Science, Geeta University

Karandeep Singh - Development Intern in India | Tal