MADHAN KUMAR

About

B.Sc. Computer Science graduate from VIT Vellore with hands-on experience in Python, machine learning, full-stack development, and embedded systems. Built a production-grade ML-based resume screening system and several course projects using Flask, React, C/C++, and IoT technologies.

Education

• B.Sc. Computer Science
  VIT University, Vellore
  Computer Science · Jul 2023 – Jul 2026
• Higher Secondary Certificate
  Tamil Nadu State Board
  Computer science · 2022 – 2023
• Secondary School Certificate
  Tamil Nadu State Board
  Computer science · 2020 – 2021

Skills

• SQL
• C
• Python
• Machine Learning
• CSS3
• Java
• JavaScript
• Embedded Systems
• React
• Flask
• API Integration Understanding
• HTML5
• Full-stack Development

Projects

• Network Speed Testing Web Application
  HTML5, CSS3, JavaScript, jQuery, Bootstrap

  Responsive web app for measuring download speed, upload speed, and jitter with adaptive recommendations and dark/light mode.

• IoT RFID Based Entry System
  C++, Arduino UNO, MFRC522 RFID, Servo Motor, SPI Interface

  Built an RFID-based access control system that validates card UIDs, actuates a gate, and shows status via LEDs.

• 6-DOF Robotic Arm with Web-Based Control
  C++, Python, ESP32, Raspberry Pi 5, HTML, JavaScript

  Designed a six-degree-of-freedom robotic arm with web-based remote control and wireless coordination for servo motion.

• Medical Records Management System
  C, File I/O, System Programming

  Console-based hospital management system with structured CRUD operations, persistent file I/O, validation, and error handling.

• ML-Based Resume Screening System
  Python, Flask, React.js, Sentence-Transformers, PyTorch, pdfplumber, PyMuPDF, NumPy

  Full-stack ML-powered resume screening platform with multi-stage scoring, transformer-based embeddings, skill matching hierarchy, and audit logging.

🏆 Achievements & awards

• S Grade (Outstanding) — Final Year Dissertation & Internship

  Awarded the highest grade in the Final Year Project and Summer Internship, the two capstone assessments of the B.Sc. programme.

• Academic Performance

  Completed 122 credits with a CGPA of 8.50/10.0, earning 11 S Grades and 17 A Grades across 54 courses.

• S Grades in Core Technical Labs

  Awarded Outstanding across Software Engineering, DBMS Lab, OOP Lab, Operating System Lab, Web Development Lab, Software Testing Lab, and Internet of Things Lab.

• Code Optimization Award — 1st Place

  Won the B.Sc. and BCA Programme-wide Code-a-thon at VIT Vellore by developing the most time-efficient algorithm solution.