
David
Antony
Intelligence × Engineering × Design
HI_
I build systems that are both intelligent and purposeful.
Currently a B.Tech Computer Science Engineering student at Karunya Institute of Technology and Sciences. My focus lies strictly at the intersection of Machine Learning, Full-Stack Architecture, and Data Intelligence.
From deploying AI pipelines at YBI Foundation to architecting robust networks at Cisco AICTE, I blend rigorous academic discipline with a fierce, self-driven execution philosophy.
Tech Stack
04 / My Work
Projects
AI Gender & Age Prediction
An advanced AI application that predicts the gender and age of a person using the front camera in real-time. Utilises deep learning models and computer vision techniques.
Hybrid Quantum-Inspired ML for Huntington's Disease
A cutting-edge research project combining quantum computing principles with machine learning for early detection of Huntington's disease from medical data.
Heart Disease Prediction using ML
A machine learning system that predicts the likelihood of heart disease based on various health parameters and medical history using classification algorithms.
Handwritten Digit Prediction using ML
A neural network-based system for recognising and classifying handwritten digits, trained on the MNIST dataset with high accuracy.
Plant Care Community Webpage
A web-based platform connecting plant enthusiasts to share knowledge, tips, and experiences about plant care and gardening.
Blog Website for College
A full-featured blog platform designed for college students and faculty to share articles, news, and academic content.


Internships
Cisco AICTE
Virtual Internship Cohort 5
May 2024 - July 2024
- ▹Designed and managed network infrastructures using Cisco Packet Tracer.
- ▹Demonstrated proficiency in configuring routers, switches, and applying advanced networking principles.
YBI Foundation
Machine Learning Intern
July 2024 - August 2024
- ▹Executed foundational data manipulation and visualization using Pandas and Matplotlib.
- ▹Built and evaluated predictive models (Linear Regression, Logistic Regression, Random Forests, KNN).
- ▹Deployed machine learning models using Streamlit for interactive web applications.
Certifications
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Certifications
LET'S WORK
TOGETHER
David.
© 2026 David Antony A. All rights reserved.










