Floyd Benedikter

I'm Floyd Benedikter, a Computer Science grad from Princeton University with a knack for technology and innovation. My career path has led me through roles as a Growth Analyst and Full-Stack Developer, where I've honed my skills in developing effective marketing strategies, creating engaging product pages, and building robust web applications. My work reflects a deep commitment to using technology to address complex challenges, grounded in a solid foundation of both theoretical and practical computer science.

Growth Analyst at Mechanism Ventures (Remote, Oct 2023 - Jan 2024): Here, I focused on devising social media marketing strategies to enhance engagement for startups, leading to significant growth. I also designed and developed product pages using React.js, Jest, and Figma, and was responsible for evaluating team metrics to present productivity initiatives. Additionally, I worked with Dall-E4 and MidJourney to generate stock images and logos for various projects.

Full-Stack Developer at SmartDrivingCars (Princeton, NJ, May 2022 - Sep 2022): In this role, I developed a Flask web application integrated with React.js and Google Maps APIs to simulate approximately 100k trips in real cities. My work contributed to optimizing network heuristics, achieving over 80% ride-sharing efficiency. I also processed and analyzed large datasets to enhance network logistics and co-authored a GitHub repository that included extensive code for fleet simulation, which earned the 2022 Outstanding Project award from stakeholders including the NJ Governor.

I earned my B.Sc. (Hons) in Computer Science from Princeton University in the United States, graduating in 2023. My academic performance was strong, with a departmental grade of 3.71/4.00 or 93%. My coursework covered a broad range of subjects, including Machine Learning, Blockchains, Algorithm Design, Server and Website Programming and Design, Multivariable Calculus, Linear Algebra, Convex Optimization, Statistics, and Computation Theory, equipping me with a comprehensive foundation in computer science.