Lokesh Kumar Sukhwal

Electronics and Communication Engineer | Embedded Systems & IoT Specialist
Jaipur, IN.

About

Highly motivated Electronics and Communication Engineer with a strong foundation in embedded systems, IoT, and circuit design. Proven ability to develop innovative hardware and real-time solutions, coupled with robust problem-solving skills and a continuous learning mindset. Eager to leverage technical expertise and project experience to contribute to dynamic engineering challenges and drive impactful technological advancements.

Education

JECRC Foundation
Jaipur, Rajasthan, India

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Bachelor of Technology

Electronics and Communication

Grade: 7.63/10 CGPA

Courses

Embedded Systems

Core Electronics

Chip Designing

GOVT G. SR SEC School
Udaipur, Rajasthan, India

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Senior Secondary XII (RBSE)

Science Stream

Grade: 75.8%

Certificates

Full Stack Web Development

Issued By

Matrix Pvt. Ltd.

Data Analytics Essentials

Issued By

Cisco

Embedded System and Robotics

Issued By

Upflairs

Data Science using Python

Issued By

Nxt wave

AI/ML

Issued By

Dev Town

AI For Everyone

Issued By

Coursera

Skills

Embedded Systems & IoT

Arduino IDE, Embedded C, ESP32, IoT, Robotics.

Programming Languages & CS

C, C++, Python, JavaScript, SQL, OOPs, Data Structures & Algorithms.

Development & Design Tools

Visual Studio Code, Figma, Adobe XD, Canva, MS Excel, MS Office, MS PowerPoint.

Professional Skills

Teamwork, Quick Learning, Problem Solving, Adaptability.

Projects

Women Safety Night Patrolling Robot

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Summary

Led the development of an embedded system-based autonomous robot designed to enhance women's safety during night patrols through real-time surveillance and alert features.

Python Weather Prediction Tool

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Summary

Developed a Python-based weather prediction tool providing accurate forecast reports for specific cities, designed to assist users in daily activity planning.

Arduino-based Automatic Vacuum Cleaner

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Summary

Designed and implemented an Arduino-based automatic vacuum cleaner capable of autonomously cleaning various floor surfaces with advanced obstacle detection.