Showcase

A guided tour of my work

This page spotlights a few projects with extra context on goals, tooling, and outcomes. It is meant to be a quick tour before you dive into the full repository list.

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What I highlight

Clear problem statements and real-world context
Design tradeoffs and engineering decisions
Measurable outcomes and lessons learned
Links to source code, docs, and demos

How to explore

Start with the featured projects below, then jump to the full list of repositories for deeper technical detail and more projects.

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Featured Projects

Highlighted projects showcasing different aspects of my programming skills and interests.

iOS & iPadOS App

PocketLlama 🦙

A privacy-first, fully local AI chat application for iOS and iPadOS. Run powerful LLMs like Gemma 3, Llama 3.2, Qwen 2.5, and Phi-3 directly on your device with no internet required. Features include 100% local inference, a curated model library, smart download manager with real-time disk usage tracking, performance metrics, customizable answer styles, and adaptive UI with support for Light/Dark modes and multi-device optimization.

Titanic Survival Using Machine Learning

Based on user-given passenger class, passenger age and passenger gender, and using real Titanic passenger data and Machine Learning, this program will tell you if you are likely to survive.

Titanic ML app — prediction form with Pclass, Age, and Sex inputs

Titanic ML — data preprocessing and model training workflow

Titanic ML — evaluation results and metrics on the test set

Handwritten Digit Recognition

A Tkinter handwritten digit recognition app with a custom ML engine. Draw digits for real-time prediction with confidence, give thumbs up/down feedback to improve accuracy, undo, debug tools, array visualization, pattern management, duplicate removal, pattern count display, error-handled pattern storage, autocentering and storage optimization.

Arduino and Python Morse Translator

A Python project that converts user-input phrases into Morse code and flashes them using an Arduino board. Supports repeated playback and handles letters, numbers, and symbols. Uses pyfirmata2 for Arduino communication.