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Muthyaboina Akshitha

@muthyaboinaakshitha

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Electronics and Communication Engineering student with expertise in hardware development.

India

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What I'm looking for

I am looking for an innovative engineering role that allows me to apply my hardware design skills and work on cutting-edge technology projects.

As an Electronics and Communication Engineering student specializing in Artificial Intelligence and Machine Learning, I have developed a strong foundation in hardware development and advanced technology integration. My academic journey at Vel Tech Rangarajan Dr. Sagunthala R&D Institute has equipped me with the skills to build innovative IoT-based and automated system prototypes.

Throughout my studies, I have successfully completed several projects that showcase my technical abilities. Notably, I created an IoT-enabled water filter system for real-time water quality monitoring and developed a facial emotion recognition system using deep learning techniques, achieving an impressive 95% accuracy. My passion for technology drives me to explore new challenges, and I am eager to apply my hardware design and optimization skills in a dynamic engineering role.

Experience

Work history, roles, and key accomplishments

Student Project Developer

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science

Jan 2023 - Present (3 years 5 months)

Created an IoT-enabled water filter system for real-time water quality monitoring and management. Developed a real-time face detection and emotion analysis system using OpenCV and DeepFace, achieving 95% accuracy.

IoT Technologies Deep Learning OpenCV TensorFlow Python

Education

Degrees, certifications, and relevant coursework

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

BTech, Electronics and Communication Engineering with AIML

Grade: 8.89 CGPA

Pursued a Bachelor of Technology in Electronics and Communication Engineering with a specialization in AIML. Focused on hardware development and advanced technology integration, building IoT-based and automated system prototypes.

Krishnaveni Junior College

Intermediate, MPC

Grade: 8.7 CGPA

Completed Intermediate education with a focus on Mathematics, Physics, and Chemistry (MPC). Achieved a strong academic performance during this period.