Programming
Python, JavaScript and C++ with emphasis on clean logic, debugging and readable structure.
I turn algorithms, interfaces and messy ideas into small, testable systems: a study log of what I build, what I learn, and how I reason through problems.
Currently focused on software engineering fundamentals, data structures, web systems and human-centered product thinking. I enjoy projects where a clear technical constraint creates room for a clever solution.
Strong fundamentals made visible without pretending I have finished learning.
Python, JavaScript and C++ with emphasis on clean logic, debugging and readable structure.
Arrays, trees, graphs, recursion, complexity analysis and problem decomposition.
Semantic HTML, CSS, responsive interfaces, browser APIs and practical accessibility.
SQL, data exploration and introductory machine-learning workflows with an experimental mindset.
Projects framed as experiments rather than trophies: the question, the system and the lesson.
A browser-based simulation that models service queues, wait times and peak-hour behavior. Built to connect probability concepts with an interactive visual model.
A distraction-light study timer with local persistence and keyboard-first controls.
A small analysis notebook exploring cleaning, joins and visual summaries on public datasets.
Deepening core CS knowledge while turning coursework into practical prototypes and collaborative builds.
Built small responsive interfaces, solved algorithmic problems and developed a repeatable debugging workflow.
Started with programming fundamentals, command-line experiments and simple scripts that made everyday tasks easier.
Focus areas: data structures, algorithms, databases, operating systems and software engineering.
Combining technical foundations with interface design, usability and clear communication.
If you have an internship, student research opportunity, collaborative project or technical conversation in mind, send a message.
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