This application will be a country trivia game that relies on an API full of countries (you can find the link here). The goal of the game will be to guess the country by flag, any neighboring countries you know, and get within a reasonable population size of the country. A README.md is included with more info for that specific project. Fun! 🗺️
This application solves a real problem for MSOE students by making it easier to check the status of classes based on the criteria entered, such as the class and the section for the class. This allows for a more efficient experience for students struggling checking classes every single day, and compresses all the steps that would normally be taken to a single tool!
Hi there! My name is Mikhail Filippov, and I am a current sophomore student at Milwaukee School of Engineering (MSOE) 🏴☠️ studying Computer Science; in addition to that, I have minors in Computer Engineering and Mathematics. My top languages include Java, C, Python, and Russian (not coding heh). I am in the process of self-teaching HTML and JavaScript and associated libraries, such as React and Node.js, which I hope to use to build some personal projects to post online! 😊 Some of the other skills I have include: Git (obviously), Assembly Programming (x86), Linux Operating Systems, JavaFX, Pandas, NumPy, VHDL, ML, and public presentations.
In my academic career, I have covered a variety of topics, from operating systems to Scrum to advanced algorithms and data structures. I am an eager learner and love to take on new challenges, which is why I tacked on the CE minor. In a current course, Embedded systems, we did projects I never thought I would. Through this course, I learned how to solder! By putting together my own board with a variety of peripherals and I/O devices, I am able to both learn soldering as a skill and have a device that I can program from scratch in C.
An incredible journey I had the honor to take part in and contribute to was presenting research at the 2024 MICS (Midwest Instruction and Computing Symposium) conference in Minneapolis, MN with a team of six. The TL;DR of the research paper, titled "Using AI to Detect Lies: Determining the Truthfulness of Math LLMs" and linked in my LinkedIn, is the testing and determination on if math large language models (LLMs) are able to lie. This was conducted by use of black box testing, with prompts to lie and elicitation questions. The research process took from September of 2023 to the presentation at MICS, April of 2024. This was a very intruguing and insightful experience, with a long journey all the way to the Twin Cities! 📜