S Rohith Kumar

About

Electronics and Communication Engineering undergraduate with experience in firmware development, embedded C, RTOS, and hardware-oriented software. Also builds AI/ML and generative AI solutions, with projects spanning IoT, computer vision, and anomaly detection.

Experience

• AI & Machine Learning Intern
  Skill Nexis
  2026 – —

  Gained practical experience in Artificial Intelligence and Machine Learning through hands-on development and experimentation. Worked with Python-based ML workflows including data preprocessing, model development, evaluation, and experimentation. Applied Machine Learning, Deep Learning, and Generative AI concepts to practical problem-solving tasks.

• Team Lead, Research & Analysis Team
  KARE ACM SIGBED Student Chapter

  Served as Team Lead in the Research & Analysis Team.

Education

• 2027
  B.Tech

  Kalasalingam Academy of Research and Education

  Electronics and Communication Engineering (ECE) · Aug 2023 – May 2027

  Electronics and Communication Engineering (ECE) · Aug 2023 – May 2027
• 2023 CJ
  Intermediate (MPC)

  Sri Chaitanya Junior College

  Science · Jun 2021 – Apr 2023

  Science · Jun 2021 – Apr 2023
• 2021 KR
  Secondary School Certificate

  Keshava Reddy School

  Jun 2016 – May 2021

  Jun 2016 – May 2021

Skills

Tools / apps / platforms

Projects

• Machine Learning Based IoT Attack Prediction System
  Python, Machine Learning, Isolation Forest, Flask

  Developed an anomaly detection system for identifying cyber attacks in an IoT-based data center monitoring environment. Extracted network traffic features, trained multiple machine learning models, selected Isolation Forest as the best-performing model, and deployed the model using a Flask backend for real-time prediction and alert generation.

• Facial Recognition Based Smart Attendance System with RFID Verification
  ESP32-CAM, STM32, Flask, RFID

  Developed an IoT-based smart attendance system using ESP32-CAM for real-time facial recognition and automated attendance logging. Implemented dual-factor authentication by integrating facial recognition with RFID verification using ESP32-CAM and STM32 microcontrollers. Developed a Flask-based attendance portal for real-time monitoring, record management, and visualization.

🏆 Achievements & awards

• Academic Excellence - 3rd Rank in Department

  Secured 3rd rank in the department during B.Tech 2nd year.

• Patent Filed

  Filed a patent application titled Adaptive Multi-Metric Cost-Based Routing Method for Energy Efficient Wireless Sensor Networks (Application No: 202641055048).

⚽ Extracurricular activities

• Team Lead, Research & Analysis Team, KARE ACM SIGBED Student Chapter

  Served as team lead in a student chapter role.