Computer Science Graduate & Full-Stack Developer
Specializing in JavaScript, TypeScript, React, Node.js, and Next.js with machine learning research experience.
Recent Computer Science graduate with hands-on experience in full-stack development and machine learning research experience
I'm Marc Wolpert, a Computer Science graduate from UNLV with a passion for creating innovative web applications. I bring fresh perspectives and cutting-edge technical skills to every project I work on.
My background spans from machine learning research analyzing 100,000+ physics data points to full-stack development with modern frameworks. I thrive on rapid learning and applying complex concepts to solve real-world problems.
React, Next.js, Node.js, TypeScript, JavaScript (ES6+)
Python, TensorFlow, PyTorch, Data Analysis, HDBSCAN
Docker, Git, Testing, Cloud Computing, REST APIs
University of Nevada, Las Vegas
Relevant Coursework: Algorithms, Data Structures, Machine Learning, Operating Systems, Cloud Computing, Databases
University of Nevada, Las Vegas
August 2023 - December 2023
Led a team of 5 to develop a deep learning app that transcribes live audio into sheet music, reducing costs from $22/hr to under $0.01/hr.
In Progress
When going to a new city, it's hard to know where is safe and where is not, along with the places that are expensive and the places that are cheap. Map analogy uses machine learning to relate a big city you're familiar with to where you're currently traveling to.
In Progress
Learning a new language is hard, and the difficulty to learning the vocabulary is not intuitive. This system scales the difficulty so that you're always challenged but not overwhelmed, and seeing the words in-context as you learn them in real world usage.
Ready for new opportunities and collaborations!