Welcome to my portfolio! My name is Gabriel Giangi, and I am a Computer Science major at Concordia University, with a keen interest in entrepreneurship, technological innovation, and creativity. I find great purpose in exploring the potential of Artificial General Intelligence (AGI), human-computer interaction, and AI technologies. As a dedicated learner, I am currently focusing on artificial intelligence frameworks and deep learning algorithms. My particular interest is in conversational AI systems and their ability to exhibit human-like interactions and simulated emotions. I am committed to understanding the intricacies of machine learning and discovering ways to enhance the efficiency of complex systems. Beyond my technical pursuits, I also enjoy expressing my creativity through various design projects, which include application and UI/UX design, painting, and graphic design. These experiences have allowed me to develop a versatile skillset and an appreciation for aesthetics across different mediums. Guided by a desire to contribute positively to the world, I work diligently to refine my skills, always striving to create meaningful solutions that can make a lasting impact. As I continue to grow and learn in the field of AI and deep learning, I remain open to potential collaborations, partnerships, and investment opportunities that will enable us to work together in shaping the future of technology.
ShipNow
Mon Nov 01 2021 - Thu Dec 01 2022
G&G Web Technologies
Fri May 01 2020 - Present
50%
50%
50%
90%
60%
95%
40%
60%
95%
80%
100%
85%
95%
80%
80%
70%
This project primarily served as a platform for honing my full-stack web development expertise while providing a centralized hub to showcase an array of my future projects. Through this endeavour, I gained invaluable exposure to a diverse range of technologies, encompassing the development of responsive user interfaces, the seamless integration of JavaScript library animations, the implementation of robust API endpoints within the application, and establishing secure connections between a web application and a Content Management System (CMS), among other accomplishments. This comprehensive experience has significantly expanded my technical skillset and reinforced my commitment to crafting high-quality, innovative web applications.
DispatchBoost is an advanced system designed to optimize routing decisions for efficient and cost-effective transportation. Built on a random forest classifier, the system achieves an accuracy of 71.4% in carrier classification and 77.5% in transportation cost prediction. The goal is to provide dispatchers and third-party brokerages with a tool to obtain accurate quotes more efficiently and at a better price. Further training on a larger dataset is needed for production performance. DispatchBoost has the potential to revolutionize the transportation industry by streamlining operations, increasing efficiency, and reducing costs.
SPEAR (Speech Emotion Analysis and Recognition System) is a cutting-edge machine learning-based system that accurately recognizes emotions in speech. It fine-tunes a pre-trained WavLM model with an MLP classifier, resulting in a model with 313.4 million trainable parameters. The system achieves an impressive accuracy of 87.4% after extensive training and testing. With its advanced architecture and highly accurate results, SPEAR has the potential to revolutionize speech emotion analysis and recognition in a variety of applications, including call center analytics and assistive technology for individuals with speech impairments.
+4384039297
gabegiangi@gmail.com
Montreal, Quebec