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MK

Manojkumar Nomanna Keeliputti

Electronics & Communication Engineering student · Embedded Systems Enthusiast

Shivamogga, Karnataka, India

@manojkumar_nk

LinkedIn GitHub

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🎓 Bachelor of Engineering in Electronics and Communication Engineering at Jawaharlal Nehru New College of Engineering · Graduating 2027

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About

Electronics and Communication Engineering student with hands-on experience in embedded systems and debugging hardware-software issues. Proficient in Embedded C, C++, and microcontroller interfacing, with a quality-focused approach to embedded systems testing.

Education

  • Bachelor of Engineering
    Jawaharlal Nehru New College of Engineering
    Electronics and Communication Engineering (ECE) · Aug 2023 – Nov 2027
  • PCMB
    Aryabhata PU College
    Jun 2021 – Mar 2023
  • Class 10th
    SFS English Medium School
    Jun 2020 – Mar 2021

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C I2C SPI VLSI UART ESP32 Python Embedded C Keil uVision Embedded Systems Digital Electronics 8051 Microcontroller Digital Signal Processing

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
KiCad NPTEL GitHub VS Code Arduino IDE Arduino UNO

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Kannada Speak
Fluent Fluent Comfortable using it for work.
English Speak
Conversational Conversational Can hold an everyday conversation.
Hindi Speak

Projects

  • Footstep Energy Harvesting and Monitoring System ↗
    Arduino Uno, C Program, DC Generator

    Developed a footstep-based energy harvesting system using a mechanical pin and pull mechanism to convert mechanical motion into electrical energy. Tested the system under varying footstep pressure and frequency, verifying power generation output to validate energy conversion efficiency.

  • Smart Radar Detection and Monitoring System ↗
    Arduino Uno, Ultrasonic Sensor, C Program

    Designed a servo-driven ultrasonic scanning system that sweeps a 0°–180° field, computing real-time distance at each angle to detect and track objects. Applied a Kalman filter to smooth raw sensor readings, reducing jitter and improving detection accuracy and consistency. Integrated ESP32 with Blynk IoT to push real-time app/email alerts on detection and validated system performance across multiple back-to-back detection events.

Courses & certifications

🎯 Hobbies & interests

  • Reading Books
  • Singing
  • Creative Writing
  • Public Speaking

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