Kanakkaparambil Nivedsagar

About

Fourth-year BTech student specializing in Electrical & Electronics Engineering with Artificial Intelligence and Data Science. Has internship experience in IoT and industrial dashboard development, plus hands-on project work in machine learning, embedded systems, and robotics.

Experience

• DXP Engineer Intern
  Yokogawa Electric Pte Ltd
  Jan 2023 – Jul 2023

  Built IoT dashboards using Node-RED, C#, and Excel for industrial sensor data visualization. Supported troubleshooting of data pipelines and strengthened technical skills through self-learning.

• IoT Intern
  BluGraph Technologies Pte Ltd
  Apr 2021 – Jul 2021

  Developed a Raspberry Pi-based smart lighting system to optimize energy usage based on time and occupancy. Assisted in coding, testing, and maintenance of the IoT device and supporting systems using the TI C2550 chip.

Education

• Bachelor of Technology
  Karunya Institute of Technology, Coimbatore
  Electrical & Electronics Engineering with Specialisation in Artificial Intelligence and Data Science
• Bachelor of Engineering
  Nanyang Technological University, Singapore
  Electrical and Electronics Engineering with a Minor in Business
• High School
  Devamatha Public School
• High School
  YBIS

Skills

Tools / apps / platforms

Languages

Projects

• ESP32-based Automatic Curtain System
  ESP32, LDR sensors

  Built an automatic curtain system that opens and closes blinds based on indoor and outdoor light intensity.

• ESP32-based Smart Plant Monitoring System
  ESP32, LDR, DHT22

  Built a smart plant monitoring system with artificial lighting support during non-sunshine hours.

• Phase Imbalance Shifter

  Developed a phase imbalance shifter to enhance grid stability by balancing load distribution for solar applications.

• UAV Motion Planning
  ROS 2, Gazebo, Python

  Developed UAV motion planning for autonomous obstacle avoidance and simulated drone navigation in dynamic 3D environments.

• ECG Classification using CNN+LSTM
  CNN, DSP filtering, MIT Arrhythmia dataset

  Built a machine learning model for ECG classification to predict normal vs. abnormal heartbeats.

Courses & certifications

• PLC Training on DELTA Models and EV Modelling Training and Battery Pack Analysis · SARA Automations
• Embedded Systems Training · Prashan Medical Technologies
• Power Systems and Transmission Training · Tata Power Skill Development Institute
• L&T Switchgear Plant Training · L&T
• Siemens PLC Training: Hands-on Experience in Industrial Automation and Control · Siemens

🏆 Achievements & awards

• Most Valuable Player · 2023

  Awarded as a member of the University Cricket Team.

⚽ Extracurricular activities

• University Cricket Team Member

  Member of the university cricket team.

• Engineering Club Member

  Helped organise events such as ENITIO and supported team participation; oversaw publicity efforts, driving a 20% increase in new club members.

🎯 Hobbies & interests

• Travelling
• Arts
• Dancing
• Sports
• Cricket
• Football