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Ugenteraan Manogaran
Machine Learning - Deep Learning - DevOps - MLOps

Projects

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About Me

As an integral component of my pursuit towards attaining a master's degree, I have had the honor of publishing two papers. The primary focus of both papers revolved around examining the efficacy of Capsule Networks in practical applications. Should you wish to access these papers, they are available for download through the respective links provided below.

I adopt a methodical approach to acquiring proficiency in machine learning algorithms. This entails deriving the algorithms mathematically and implementing them with minimal reliance on external libraries. Some of my works are Kalman Filter, Principal Component Analysis, Naive Bayes, Fourier Transform, Neural Network, and Eigenface.

Download 1st Research Paper
Download 2nd Research Paper

Experience & Mission

Over the course of my adventurous 7-year journey in machine learning and software engineering, I've donned different hats—from a machine learning engineer to senior roles, and even a thrilling stint as a Chief Technology Officer. On top of that, I'm currently having a blast as a machine learning mentor for a fantastic local programming community. There, I get to unleash my teaching prowess, imparting software engineering and machine learning wisdom to bright university students, fresh graduates, and passionate programmers.

My mission? To embark on exhilarating projects that make a tangible positive impact on society. If you're seeking someone with my unique blend of skills and experience, look no further! Feel free to reach out to me through Telegram or connect on LinkedIn provided at the bottom of this page.