ivin Sojan
@ivinsojan
Final-year ECE engineer focused on embedded, IoT, and edge AI—building practical microcontroller-based detection systems.
What I'm looking for
I’m a final-year Electronics and Communication Engineering graduate with hands-on experience in Embedded Systems, ESP32-based development, IoT applications, sensor interfacing, and camera-assisted edge AI systems. I enjoy turning real-world needs into reliable hardware by combining microcontroller programming with intelligent detection.
My projects reflect that focus: I built an ESP32-CAM bird detection and repellent system, designed an FPV drone training project, and developed a ball bearing sorting machine using sensing and automation principles. For my main project, I created a real-time EMG-controlled prosthetic arm using Raspberry Pi Pico, covering EMG signal preprocessing and feature extraction (MAV, RMS, WL, and Zero Crossing) and deploying a Random Forest model for gesture recognition.
Experience
Work history, roles, and key accomplishments
Drone Technologies Workshop
NIELIT
Feb 2025 - Feb 2025 (0 months)
Completed training on drone technologies, gaining exposure to aerodynamics, flight control systems, drone components, and operational safety.
Embedded Systems (Online) Training
Eduversity
Jun 2024 - Jun 2024 (0 months)
Completed online Embedded Systems training covering microcontrollers, embedded C programming, sensor interfacing, and system-level design fundamentals.
Embedded Systems & IoT Training
Keltron
May 2023 - May 2023 (0 months)
Completed Keltron training on Embedded Systems and IoT, covering microcontroller-based system development, embedded programming, sensor interfacing, and IoT application development.
Education
Degrees, certifications, and relevant coursework
St. Joseph’s College of Engineering
Bachelor of Technology (B.Tech), Electronics and Communication Engineering
2022 - 2026
Grade: CGPA: 7.3
B.Tech in Electronics and Communication Engineering covering embedded C, microcontroller programming, sensor interfacing, IoT, and embedded hardware integration. Current performance includes CGPA of 7.3 and coursework/projects related to ESP32/ESP32-CAM and computer vision (OpenCV).
SFS Public School and Junior College
CBSE Class 12, Higher Secondary Education
2021 - 2022
Grade: GPA/Percentage: 86%
Completed CBSE Class 12 with a reported GPA/percentage of 86%.
SFS Public School and Junior College
CBSE Class 10, Secondary Education
2019 - 2021
Grade: GPA/Percentage: 80%
Completed CBSE Class 10 with a reported GPA/percentage of 80%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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