Iโm Liam, a Computer Science and Business student at the University of Michigan, from Washington D.C.
Iโm passionate about tackling complex problems and diving deep into data. With experience in Product Management and Consulting, I bring a blend of analytical and strategic skills to my projects - more on those below!
In my free time, I love playing sports (lacrosse, soccer, and basketball are my favorites), hiking, and getting lost in a good book โ right now some of my favorite books are Thinking Fast and Slow, Sapiens, and All the Light We Cannot See. I also love to cook and travel; I spent a summer as a chef in a restaurant in Tuscany, Italy - where I got to sharpen my skills and my palate.
You can view or download my resume here:
I love to learn new things and build interesting projects. I like to do this with the following languages, platforms, and tools:
Here are some of my projects. Feel free to take a look!
Developing a platform to streamline and manage queues for pickup basketball games.
Learn MoreBuilt clones of popular platforms to deepen understanding of web technologies.
Learn MoreCreating a platform - alongside a team of 5 - that uses AI to generate personalized meditation sessions.
Learn MoreCreated an algorithm to optimize NCAA tournament brackets based on data and game theory.
Learn MoreDeveloped a real-time draft assistant to select the optimal fantasy football team.
Learn MoreDeveloped a predictive model for the Premier Lacrosse League using advanced statistical analysis.
Learn MoreI carry around a notebook full of questions to grapple with and ideas to solve. Here are a few of the ones I'm just getting started working on! ๐
Developing an app, using AI and optimization algorithms, to optimize travel planning for cost, time, and sustainability.
More details soon
Designing and developing a lacrosse video game in Electron, inspired by Football Manager, to bring the sport to fans in a new way.
More details soon
Creating a tool to help homeowners assess their home's sustainability and identify cost-efficient improvements.
More details soon