Battery Management System (BMS)
Developed a Battery Management System for monitoring battery performance and safety. Implemented voltage and current monitoring techniques for efficient battery operation.
Electronics and Communication Engineering Student
Motivated Electronics and Communication Engineering student specializing in Artificial Intelligence & Machine Learning (AIML) with strong interest in Embedded Systems and software technologies. Skilled in programming, problem-solving, and developing technical projects with hands-on experience in circuit design and automation systems. Seeking an opportunity to apply technical knowledge and continuously grow in a professional environment.
Bachelor of Technology, Electronics and Communication Engineering
2022 – 2026
Specialization: Artificial Intelligence & Machine Learning (AIML), CGPA: 6.56
Intermediate
2020 – 2022
CGPA: 5.6
SSC
2020
CGPA: 8.8
Developed a Battery Management System for monitoring battery performance and safety. Implemented voltage and current monitoring techniques for efficient battery operation.
Designed an RF-based wireless switching system for remote appliance control. Improved automation and switching efficiency using RF communication technology.
Developed a system for identifying faults in transmission lines. Enhanced power system reliability through fault monitoring techniques.