I’m a passionate Data Scientist and AI/ML Engineer with expertise in machine learning, data science, and cloud solutions. I love crafting solutions to solve real-world problems using cutting-edge technology.
Download My CVGraduate Assistant
I conducted in-depth research and development of a Convolutional Neural Network (CNN) model aimed at optimizing metal 3D printing processes. The project focused on leveling printing surfaces, which significantly enhanced printing quality and reduced material waste. By leveraging advanced machine learning techniques, I was able to improve the accuracy and efficiency of surface leveling in 3D printers. Additionally, I meticulously documented the research findings, methodologies, and model development processes to ensure knowledge sharing and reproducibility, enabling further advancements in the field.
Front-end Developer
I engineered a face analytics tool capable of analyzing videos for face verification, emotion detection, liveness detection, and eye blink counts, achieving an impressive 95% accuracy rate in face verification. To streamline document processing, I developed and deployed a REST API for document classification, enabling seamless integration into platforms like video banking and workflow management systems. Leveraging advanced Convolutional Neural Networks (CNNs), I enhanced document classification accuracy by 25%, creating a robust document management platform for efficient classification and categorization. In the financial domain, I trained an AI model using YOLOv5 to achieve 90% accuracy in bank cheque signature verification, reducing false positives and enhancing security. Furthermore, I designed and developed a POS device for real-time notifications post-payment transactions via QR codes, integrating with digital wallets and mobile banking systems, which boosted transaction efficiency by 30%. I also created an OCR-based document extraction solution to automate data extraction from multiple document types using pre-defined templates, providing a scalable and efficient approach to document management.
Machine Learning Intern
I engineered a cutting-edge road lane detection system that performs real-time curvature calculations and vehicle detection, offering improved accuracy and responsiveness for autonomous navigation. Additionally, I trained an AI model for autopilot functionality within simulator racetrack environments, enabling seamless maneuvering and navigation in dynamic conditions. This work contributes to the advancement of autonomous driving technologies, ensuring precision and reliability in real-world scenarios.
Gannon University
Master of Science in Computer and Information Science
London Metropolitan University
Bachelor of Science (Hons.) Computing