AB
Alakh Babbar
ID: CCE354370
Alakh Babbar
ID: CCE354370
About Alakh Babbar
Fresh engineering graduate with proficiency in Python and backend development. Experienced in MERN stack development through internships and project work. Passionate about building efficient and scalable web applications, with a solid foundation in both backend technologies and full-stack development practices. Eager to apply technical skills and continue learning in a professional environment.

Employment History
2025
VL
Virtual Labs (MoE, Government of India)
1st Dec 2025 to 31st Mar 2026
Intern
1st Dec 2025 to 31st Mar 2026
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Salary Hidden
Roles & Responsibility
Responsible for migrating legacy applications to modern web technologies, enhancing user experience through responsive and interactive frontend design using HTML, CSS, and JavaScript. Developed and implemented secure, real-time QR-based ticketing and participant validation systems. Engineered robust admin authentication and authorization frameworks with Firebase Authentication, ensuring controlled access and protection of sensitive operations. Ensured data integrity by designing duplicate detection and validation mechanisms. Built full-stack solutions with React and Node.js, integrating secure APIs, cloud storage, geolocation validation, and automated communication workflows to streamline operational processes.
Skills
- Leadership
- Software Engineering
- MERN stack
2025
G
Globallogic
2nd Apr 2025 to 31st Aug 2025
Intern
2nd Apr 2025 to 31st Aug 2025
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Developed an internal recruitment analytics tool using React, enabling managers and HR to track and analyze candidate pipelines, following standard Software Development Life Cycle (SDLC) practices. Integrated Google Sheets API with OAuth 2.0 authentication to securely fetch and manage data via a REST API-based architecture. Built interactive dashboards using react-chartjs-2, visualizing recruitment metrics through dynamic bar and pie charts for actionable insights. Implemented efficient client-side data handling, including search, filtering, pagination, and dynamic column selection, ensuring smooth performance with large datasets. Designed a responsive and user-friendly interface using React and Tailwind CSS, optimizing usability and overall application performance.
Skills
- Agile Development
- RESTAPIs
- ReactJS(Beginner)

Education
2026
Bachelor of technology
Dayalbagh Educational Institute
8th Sep 2022 to 15th May 2026
Expertise
Object-Oriented Programming (OOP)
5/5
REST APIs
5/5
Vercel
4/5
Backend development
4/5
CI/CD (Basic)
4/5
Software Design
4/5
CSS
4/5
HTML
4/5
VS Code
4/5
Render
4/5
Python
4/5
Github
4/5
Git
4/5
firebase
4/5
FastAPI
4/5
GCP (Basic)
3/5
Appwrite
3/5
React.js
3/5
Tailwind CSS
3/5
MongoDB
3/5
Express.js
3/5
Node.js
3/5
Generative AI
3/5
JavaScript
3/5
n8n
2/5
SQL
2/5
Lingo
English (India)
Verbal
4/5
Written
4/5
Hindi
Verbal
5/5
Written
5/5