Available for new opportunities

Building Intelligent Applications with Machine Learning

Graduate Computer Science Student & Teaching Assistant at UCF, focused on bridging the gap between ML theory and practical application.

Explore My Work View Résumé

About & Skills

My Mission

As a Graduate Teaching Assistant and passionate developer, my goal is to build intelligent, high-performance applications that are not only functional but also provide seamless user experiences. I thrive in collaborative environments where I can contribute my skills to a shared vision and grow as an engineer.

My Digital Toolkit

Python

Java

C

SQL

PostgreSQL

MongoDB

Git & GitHub

Linux

AWS

VS Code

Eclipse

PowerBI

React

Tailwind CSS

Bootstrap

Computer Graphics

PyGame

OpenGL (incl. ModernGL)

TensorFlow

Keras

YOLOv8

Streamlit

Flask

SpeechRecognition

Relevant Coursework

Machine Learning • Foundations of Computer Security and Privacy • Advanced AI • Computer Vision • Computer Graphics

Project Showcase

Detection of Phishing Websites Using Machine Learning Approaches

Challenge: Identifying phishing websites with high accuracy by analyzing URL-based and website behavioral features while minimizing false positives.

Result: Built and evaluated multiple machine learning models, achieving high detection accuracy by selecting optimal feature sets and classifiers for real-world phishing detection.

Python Machine Learning Scikit-learn Flask

SkyEye: Aerial Object Detection

Challenge: Performing real-time object detection on high-resolution drone imagery with an inference speed under 80ms to ensure fluid tracking.

Result: Achieved 93% accuracy by fine-tuning a YOLOv8 model on over 5,000 drone images, creating a high-performance surveillance system.

Python YOLOv8 Streamlit

Pill Detection and Identification Project.

Pill Detection & Identification

Challenge: Reducing dangerous misidentifications in a dataset of over 10,000 visually similar pills.

Result: Achieved 95% classification accuracy and boosted inference speed by 27% by optimizing the MobileNetV2 architecture.

TensorFlow Keras Flask

Audio-to-Text Transcription

Challenge: Reliably process diverse audio formats into a standardized text format suitable for downstream data analysis.

Result: Engineered a modular Python system that generates structured text datasets, ready for advanced NLP and sentiment analysis pipelines.

Python SpeechRecognition Flask

Let's Build Together

I'm actively seeking new opportunities and I'm always open to discussing innovative projects. If you have a challenge in mind, I'd love to hear about it.

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