
Feature Engineering: Unlocking the Power of Data for Machine Learning
Learn how to transform raw data into powerful inputs for better machine learning models.
Read MoreOn a mission to build the future of intelligent systems.
I'm a self-taught Machine Learning and AI Engineer with a passion for building intelligent systems that solve real-world problems. I blend hands-on experience with a deep understanding of core ML algorithms, neural networks, and data-driven decision making.
My journey started in cybersecurity, where I spent a year diving deep into ethical hacking. That exploration sparked a deeper curiosity about how intelligent systems work, which led me to switch full-time into AI and machine learning. Since then, I’ve designed, developed, and deployed solutions ranging from predictive models to computer vision applications.
I live at the intersection of theory and practice. I can implement algorithms from scratch, deploy models into APIs, or optimize systems for performance. My mission is to contribute to impactful, scalable AI products that change lives.
A deep learning model for real-time object detection and classification using TensorFlow.
Natural Language Processing system for sentiment analysis and text classification.
Real-time data analysis and prediction system with interactive visualizations.
Learn how to transform raw data into powerful inputs for better machine learning models.
Read MoreLearn how to train linear regression models without using gradient descent.
Read MoreA beginner-friendly breakdown of how linear regression works under the hood.
Read MoreDelivered ML solutions to clients by building and deploying supervised and unsupervised models for real-world use cases.
Focused on hands-on experimentation with algorithms and deep learning architectures.
Dedicated one year to full-time ethical hacking, focusing on network security, penetration testing, and Linux systems. Participated in CTF challenges. Gained hands-on experience with Metasploit, Nmap, Wireshark, and Burp Suite.
University of Kerala
Minor in Mathematics | "Newton Broke My Neural Network"
Dedicated one year to full-time ethical hacking, focusing on network security, penetration testing, and Linux systems. In 2023, shifted focus to Machine Learning and AI after developing a strong interest in intelligent systems and data-driven technologies..
Specialization in Computer Hardware and Systems Maintenance.