About Me
My Journey
I’m still learning what it means to be a great engineer, but one thing’s certain: I love learning about what machine learning and software can do for the world. Whether it’s testing a new algorithm or staring up at a clear night sky, I’m always looking for patterns and possibilities.
I believe the best technology doesn’t just work, it feels right too. I’m drawn to tools and systems that are intuitive, human-centered, and built to solve real problems. For me, engineering is as much about curiosity and exploration as it is about intention.
Quick Facts
Technologies & Skills
What Drives Me
AI & ML
Creating intelligent tools and systems
Software Dev.
Scalable and meaningful applications
Continuous Learning
Always learning more
Problem Solving
Creative solutions and collaboration
Teaching & Mentorship
Helping others grow while growing myself
Coffee
A true blessing from God
Featured Projects
No model libraries. No shortcuts. I built every piece of a GPT by hand, from the tokenizer to multi-head attention to autoregressive decoding, then trained it on my own CPU using the first six chapters of Winnie the Pooh. The result sounds a lot like Pooh himself, which was exactly the point.
Ever wondered what your photos would look like hanging in a museum? I built a desktop app that blends any photo with any painting, transferring the artist's texture and color onto your image in seconds. You don't need to know a thing about AI to start creating.
Ask a question in plain English, get working SQL back. I fine-tuned Meta's LLaMA-2-7B to translate the way people actually talk into the queries a database understands. LoRA and 4-bit quantization made training a 7 billion parameter model possible on a single free Colab T4.
Can a small, general-purpose language model become better at answering questions with just a little guidance? In this short project, I fine-tuned a lightweight GPT-2 model using Hugging Face tools and the Guanaco QA dataset. The result: a model that answers basic questions more clearly, instead of just continuing text like the original GPT-2. This project was my way of exploring how fine-tuning can align a model with user intent, and thanks to Hugging Face's powerful libraries, I was able to train, evaluate, and deploy everything smoothly. There's even a Colab demo so anyone can try it out instantly, no setup needed.
The 8-Puzzle is a classic brain teaser, a 3x3 grid with numbered tiles and one empty space. Your goal? Slide the tiles around until they're back in order. This project brings 8-Puzzle to life using AI. Built in Python, it solves any puzzle setup you give it by using smart search algorithms like A* and Uniform Cost Search. You’ll watch your computer plan, think ahead, and solve the puzzle step by step, just like a human but faster. It’s not just a solver, it’s a peek into how AI makes decisions. You can compare different algorithms side by side, see how their strategies evolve, and explore how small changes in heuristics affect performance. Whether you're curious about AI or just love puzzles, my project offers something fun and insightful for you to explore.
Pixelate is a pixel art creation platform built with inclusion in mind. More than 300 million people are affected by colorblindness worldwide, yet most design tools overlook accessibility. Inspired by friends and family members with color vision deficiencies, I wanted to build a tool with others that empowers everyone to create freely, regardless of how they see color. With smart filters tailored for the three most common types of colorblindness (protanopia, deuteranopia, tritanopia), an AI assistant for helpful suggestions, and a public gallery for sharing and discovery, Pixelate brings creativity and accessibility together. Whether you're an artist or just curious, I invite you to explore, create, and be part of a more inclusive digital art community.