Akhil Varma Vegesna
AI solutions architect and corporate trainer
akhilvarma2709
Joined April 2026
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Summary
Applied machine learning researcher with peer-reviewed work on healthcare applications of voice analysis, demonstrating experience building ML and ensemble pipelines for detection tasks. ieee+1
Interest in music information retrieval and recommendation systems, having co-authored a writeup about mood-based music recommendation that discusses features like valence and energy. medium
Hands-on builder and practitioner: maintains a Blink portfolio app, an active Kaggle profile, and a YouTube channel, indicating practical experience producing projects and sharing work publicly. blink+2
Practical web-development and internship experience recorded during undergraduate studies, with documented exposure to front-end and back-end web technologies. ac
Work
Education
Projects
Writing
Dysphonia-based Parkinson's Detection using Deep Learning and Ensemble Techniques
January 1, 2023Conference paper reporting experiments on detecting Parkinson's disease using phonetic/voice features (e.g., jitter, shimmer, NHR) and comparing machine learning, deep learning and ensemble techniques, including stacking models to improve detection performance.
Moody Playlist. An introduction to music recommendation based on mood
November 1, 2022Medium article (co-authored) introducing music recommendation concepts focused on mood, discussing features like valence and energy and techniques for mood-based playlisting and recommendation.