Innovative and versatile professional with a strong foundation in deep learning, data science, and artificial intelligence. Experienced in developing and implementing advanced neural network models and large language models (LLMs) for a variety of applications, including day trading pattern recognition, emotional facial recognition, and product classification. Proven ability to enhance software functionality, streamline processes, and deliver robust, high-quality solutions. Equipped with solid programming expertise in Python and a diverse background in engineering, grounds maintenance, and market research. Committed to continuous learning and currently expanding knowledge in generative AI and natural language processing through certifications from MIT. Seeking opportunities to apply technical skills and creative problem-solving to drive innovation and efficiency in complex projects.
- A neural network program which is able to quickly identify potential trades based on commonly used patters for analysis.
- A program in excel to automate data entry for faster management and better organization. Mobile app creation for on sight entries to allow for more efficient utilization.
- Develop a Generative AI application using a Large Language Model to automate the Asspect-based Classification and Summarization of Customer Reviews received by a business.
- Develop a generative ai application using a large language model to automate product classification and summarization.
- Neural network to identify the emotions of an individuals face
- Deep learning program to recognize the numbers located on the side of houses.
- Deep learning program with ability to recognize cat photos.
- Deep learning program with ability to recognize shapes.
- Analysis of restaurant data to provide better restaurant profit.