Vivek Boddu

I’m an enthusiastic student focused on Artificial Intelligence and Machine Learning, motivated to contribute to organizational success by applying my skills with strong commitment. I’m eager to learn, grow, and excel across different technologies in a challenging environment.

I built an “Emotion Recognition Through CNN” system by designing a speech emotion recognition pipeline using MFCC feature extraction and a CNN-based deep learning model. I trained and evaluated the model on the TESS dataset, implementing the solution in Python with TensorFlow/Keras and Librosa, and validated performance using a confusion matrix and evaluation metrics.

I’ve also gained practical exposure through a Data Engineering Virtual Internship (AICTE - EduSkills) with AWS Academy, alongside hands-on robotics and automation experience from the Micro-Bot Workshop (Gened Technologies). To broaden my foundation, I completed certifications including “Introduction to Cybersecurity,” “Data Structures in C,” and “Data Visualization with Python,” and I bring strong team collaboration, critical thinking, and adaptability to every task.