Vaibhav Chandra Pandey

About

Computer Science and Engineering student at DIT University with hands-on experience in Java, Python, SQL, and AI/ML tools. Interested in backend development, computer vision, and building practical software systems.

Education

• Bachelor of Technology in Computer Science and Engineering
  DIT University
  Computer Science and Engineering · Aug 2023 – May 2027
• High School
  Sr. Secondary
  2023
• High School
  Secondary
  2021

Skills

• SQL
• C
• Python
• Java
• NumPy
• Pandas
• scikit-learn
• PyTorch
• TensorFlow
• Operating Systems
• Keras
• API Integration Understanding
• Data Structures and Algorithms
• Oop
• Database Management Systems

Projects

• AI-Powered Logistics Management System
  Java, MySQL, REST APIs

  Building a logistics platform for shipment tracking, route optimization, and operational visibility. Designing backend modules for shipment, vehicle, and tracking data management and extending the project with AI-assisted optimization features.

• Employee Management System
  Java Swing, JDBC, MySQL

  Developed a desktop-based employee management application with add, update, delete, search, and display features. Integrated MySQL connectivity using JDBC for persistent employee data storage and retrieval.

• Crowd Density Estimation System
  Python, TensorFlow, OpenCV, YOLOv8

  Developed a computer vision system for estimating crowd density and counting people from surveillance images and video streams. Implemented image preprocessing, model inference, and visualization workflows using OpenCV and YOLOv8.

Courses & certifications

• Linux Fundamentals · Coursera
• Database Management Systems · Coursera

🏆 Achievements & awards

• Solved 210+ Data Structures & Algorithms problems on LeetCode

  Demonstrated proficiency in arrays, strings, hashing, sliding window, stacks, queues, and algorithmic problem-solving.

• UPSC National Defence Academy Written Examination

  Cleared the written examination, demonstrating quantitative aptitude, analytical reasoning, discipline, and performance under a competitive national-level exam.

⚽ Extracurricular activities

• Academic Group Projects

  Collaborated in multiple academic group projects involving backend development, database integration, and AI/ML workflows.

• Team Coordination

  Coordinated task distribution, debugging, code integration, and project presentations within student teams during coursework and technical assignments.