Joshua Lamb

Joshua Lamb is a driven and detail-oriented engineer currently pursuing a Master of Science in Artificial Intelligence Systems at the University of Florida. He applies his academic knowledge to real-world challenges as a part-time Machine Learning Engineer at Springs Window Fashions, where he was invited to continue his role after a successful summer internship.

During his internship, Joshua designed and developed an LLM-based AI agent to assist customer service representatives, automating tasks like order lookups and product Q&A and successfully addressing approximately 35% of total call volume. His current work involves implementing a computer vision system to detect and flag missing parts in warehouse packaging.

Joshua’s academic projects showcase his expertise in both AI and software development. He has engineered a backend REST API with Flask for an AI tutoring application, containerized complex simulation environments with Docker, and developed a multimodal generative AI pipeline that creates forensic sketches from verbal descriptions. Beyond his technical work, Joshua is passionate about mentorship. He has served as a Teaching Assistant for over 200 graduate students in machine learning courses and collaborated with a professor to design the curriculum for a new graduate course in Medical Artificial Intelligence.

Fueled by a desire to tackle real, meaningful problems, Joshua is dedicated to building and deploying robust, end-to-end AI and software solutions. Outside of his work, he enjoys pickleball, Olympic weightlifting, hiking, and watching movies.

Soroush Saririan

Soroush Saririan, a graduate student in the Applied Data Science program at the University of Florida. He graduated magna cum laude from Stony Brook University with a degree in Mechanical Engineering and earned the Richard S. Lee Research Excellence Award for his work on carbon nanotube epoxy composites, which was also published in a peer reviewed journal. His passion is at the intersection of engineering and data analysis, using machine learning and AI model based solutions to solve complex design problems.

At the University of Florida, he is putting that passion to work. As a graduate researcher, he uses predictive modeling to complement experimental methods in laser metal bending projects. At the same time, he is collaborating with clinical researchers in the Department of Orthopedic Surgery and Sports Medicine, creating Python based pipelines to process electromyographic data from stroke patients. This work highlights his dedication to bridging the gap between computational analysis and real world clinical insights.

Soroush’s skills go beyond the lab setting. He has led multiple technical projects, including designing an electric propulsion system for the Stony Brook Solar Racing Team and developing a computer vision pipeline for automated skin allergen testing. These experiences showcase his ability to take on a variety of challenges, from mechanical to biomedical.

He believes that “engineering and data science together can solve problems neither could solve alone,” a motto that captures his unique blend of technical rigor and creativity. In his free time, he enjoys robotics and is fascinated by the mechanics of human movement, a curiosity that is leading his career goals in prosthetics and a future in rehabilitation engineering.

Douglas Ta

Douglas’ latest work experience was last summer working as a Natural Language Processing Developer for ARC Tracker. He built a project from the ground up, helping them create their first conversational chat bot. From the creation of the chat bot to cloud deployment onto the ARC Tracker website, Douglas learned to fully appreciate the process that needs to be done to actually turn a project into something production ready. Before that he worked with Freedom Scientific doing the same task of helping them build their first chat bot. His first internship experience was working at Fire Neural Network as a data scientist building machine learning models to detect dangerous lightning strikes. He is currently finishing up his graduate degree in AI Systems and completed his BS in Computer Science at the University of Florida. Currently Douglas is working on a startup called UFish, one that he cofounded with another graduate engineer here at UF. The goal of this startup is to bridge the gap between marine monitoring systems and the advancement of AI for American fishermen and marine conservationists alike. He plans to do this by developing a Smart buoy, attached with sonar and camera sensors, that is capable of remote monitoring from anywhere at sea. With that in mind, he is working on building a minimum viable product to put out onto the market as quickly as possible. Douglas has also made it to the final round of the Luby Microgrant Pitch Competition and will be competing to be one of few teams to be granted non-diluted funding for their startup.