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Projects I worked on during 2024-2025.
Sleek Kotlin Android app fetching real-time university data.
Displays schedule, campus rooms, news, and more via a FastAPI backend.
Focused on clean UI and API-driven design.
Monitors HTML schedules for changes and returns diffs in JSON.
Built with FastAPI, BeautifulSoup, and Pandas for scraping and parsing.
Streamlines academic updates through automation.
Manage planes & passengers with full CRUD.
Includes Plane Explorer with visualization and sorting tools.
CustomTkinter GUI for enhanced UX.
UI with Qt QML for message encryption/decryption.
Features pie chart frequency analysis.
Built with focus on UI/UX and data viz.
Operate on number lists: add, insert, replace, filter, and undo.
Use math ops like GCD, MAX, and summation.
Structured with modular design and clean logic.
Technologies I have used in my projects.
Proefficient in Python, I can utilize its vast libraries and tools for things like data analysis, cybersecurity and software in general. Some external libraries I used: Numpy, BS4, discord.py, Pandas, FastAPI.
Junior LevelI have used C++ for security research, mainly tampering with processes, reading and modifying process memory (in an educational way). I have also done algorithmics for over 3+ years.
Junior LevelUsed mostly when developing assets & experience routines for a gaming platform known as ROBLOX. I have experience developing anti-cheats and anti-tamper software. Some libraries I used: Signal, ZonesPlus, ProfileStore, ByteNet, etc.
Junior LevelMostly used when building websites (such as this one). I have two years of experience using Javascript. I have used it for small to medium sized projects.
Junior LevelMostly used when building websites (such as this one). I have two years of experience using HTML and CSS. I have experience using both LaTeX for writing math related articles and Regex (regular expressions) when dealing with filtering.
Medium LevelI have over two years of experience working with SQL and Microsoft Access, allowing me to efficiently manage, query, and analyze small to medium-scale datasets with accuracy and attention to detail.
Junior Level