Programming & Projects

Specific Knowledge Areas

Programming Languages

Primary Languages: Python, Java, Rust, C++, JavaScript

Machine Learning & AI:

• TensorFlow, PyTorch, Keras frameworks
• Computer vision with OpenCV
• Developed award-winning ML trading algorithm (300% profit margin, 1st place Columbia SHAPE competition)

Software Development:

• Web development with Flask
• Android mobile development
• Version control with GitHub
• Repository administration and project management

Systems & Infrastructure:

• Linux system administration (Ubuntu, Debian, Arch, Gentoo, ARMbian)
• Quantum algorithm design (Columbia SHAPE program)
• Cybersecurity research focusing on credential integrity and Linux kernel vulnerabilities

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Additional Technical Skills

Data Analysis: matplotlib, numpy for scientific computing and data visualization
Hardware Integration: CAD design, 3D printing, electronics (soldering, welding, plasma cutting)
Business Applications: Financial accounting systems, entrepreneurship, project management

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GitHub Projects

Traduttore Dialettico

Tech Stack: HTML5/CSS3, JavaScript, Pandas
Description: Lightweight, static web app which translates between Standard Italian and Italy’s many dialects!

Key Features:

• Algorithmic translation using a modified word-swapping algorithm
• Loads .csv datasets for translation on demand to save memory
• Instant, accurate translations coming from Marco Forzati’s crowdsourced dictionary

Live Link

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FOSSMetronome

Tech Stack: Java, Android, XML
Description: A free, open-source Android metronome application with a built-in violin tuner also!

Key Features:

• User-friendly numpad-based interface to enter precise BPM values
• 4-string violin tuner
• Fully multithreaded with no slowdowns.

Releases

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AGBClient

Tech Stack: Java, Minecraft
Description: Custom Minecraft 1.8.9 client with built-in OptiFine and client-side cheats such as hitboxes for invisible entities and linear zoom.

Key Features:

• Fully Linear Zoom (better than OptiFine).
• Turn on F3+B to see all invisible players and entities.
• Fully multithreaded with no slowdowns.

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Wordle4Aunties

Tech Stack: Java, Swing, AWT
Description: Fully offline wordle clone for avid wordlers!

Key Features:

• Small Jarfile size <15kb.
• Fully offline, works on PC/Mac/Linux in Airplane Mode.
• Saves player data locally to an external file on device.

Releases

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Freelancing