Problem-Solving with Code
I build practical tools and lightweight apps in Python and C that solve real-world problems, from automating repetitive tasks to cleaning data and simulating systems.
Leveraging a unique blend of engineering experience and software skills, I deliver practical, data-driven solutions tailored to your business challenges.
I build practical tools and lightweight apps in Python and C that solve real-world problems, from automating repetitive tasks to cleaning data and simulating systems.
Using Python, I turn raw data into clean, readable formats and visualizations. Whether it’s CSVs, APIs, or logs, I help make the numbers actually mean something.
WitPrototyping is second nature. I write code that’s easy to test and debug, with fast iterations and a focus on clarity — because good software is rarely built in one shot.
Python & OpenCV
A Python script that scans, decodes, and logs QR codes in real-time using OpenCV and Pyzbar. Built for automation in inventory, events, or logistics.
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From clean code to clear communication, I combine technical know-how with a commitment to reliable, maintainable results. My background in engineering and CS50 training ensures both depth and discipline in every project.
Python – scripting, automation, data analysis (Pandas, NumPy, Matplotlib)
C Programming – systems, memory, algorithms, data structures
Computer Science – algorithms, complexity, recursion, pointers
Git & GitHub – version control and collaboration
Testing & Debugging – unit tests, edge cases
Data Visualization – turning data into insight
Readable Code – well-commented and clean
Documentation – clear README with setup and usage
Reliable Testing – unit tests and edge case coverage
Version Control – clean Git history
Performance Focus – scalable, efficient solutions
Professionalism – timely communication and delivery