Luca-Mihai Priboi
Email: mihailucapriboi@gmail.com | LinkedIn: Mihai Priboi | Mobile: +40 740 239 181 | GitHub: mihaipriboi
Education
- 9.85 in Computer Science, 9.8 in Mathematics and 9.7 in Romanian Language and Literature;
Experience
- Managed an informative business website, which includes a marketplace and a learning platform;
- Incorporated plugins and separated the store from the rest of the website, improving overall efficiency;
- Worked on various projects involving the setup of different systems and automation of tasks such as creating a test environment for the website or setting up a Content Management System.
- Gained exposure to algorithmic trading, risk management, and market dynamics in simulated trading environments;
- Placed 3rd out of 12+ teams in Estimathon, solving math trivia and estimation challenges.
- Developed an e-commerce web application, working on front-end (Angular) and back-end (Java); designed the database architecture, implemented payment methods, and delivered sales pitches to potential buyers;
- Enhanced the functionality of a software system used by high-profile organizations, by creating a chatbot to help users in completing a form application, using Large Language Models.
Awards
HackITAll 24-hour hackathon by LSAC - XVI edition: 3rd place for Innovation
NSS Gerard K. O’Neill Space Settlement Contest: Grand Prize Winner
World Robot Olympiad: 2024 Istanbul - 7th; 2023 Panama - 17th; 2022 Germany - 8th; 2021 Online - 13th; 2020 Online - 24th; 2019 Hungary - 24th; 2018 China - 6th; 2017 Costa Rica; 2016 India; 2015 Qatar
Computer Science National Olympiad: Gold - 2017; Silver - 2021-2023, 2018, 2016; Bronze - 2019
Physics National Olympiad: Silver - 2022; Bronze - 2019, 2018
Projects
Self driving robot: 2024 - Arduino, Python - for World Robot Olympiad Future Engineers Challenge
- Designed and built the robot capable of autonomous driving, obstacle detection, avoidance, and parallel parking;
- Integrated an Arduino microcontroller and an OpenMV programmable camera for navigation.
Heart attack analysis: 2023 - Python - project for Stanford University Pre-Collegiate Summer Institues
- Used machine learning models to predict heart attack risk using a dataset of health-related information;
- Performed data analysis, feature selection; built a model to classify high-risk individuals, for early detection.
Skills
Programming languages: C/C++ (10+ years of competitive programming), Python, C#, JavaScript, Java, SQL
Tools & Technologies: Git, Linux, Angular, WordPress, Fusion360
Proficient in common and advanced algorithms and data structures.