hi, Mariya here.

Constantly Learning Through Failure

I'm a 16-year-old builder fascinated by how things work and always obsessed with the small details. Currently learning about systems theory and generative AI.

Past Projects

Project 1

Using Deep Learning for Image Colorization

Deep learning project using a pre-trained CNN in Caffe to colorize images by treating it as a classification task in the LAB color space, improving accuracy over traditional methods.

Python NumPy OpenCV Caffe CIELAB
Project 2

Mathematical Foundations of Neural Networks for MNIST Classification

A neural network implemented from scratch using NumPy without any ML frameworks, exploring the underlying math and matrix calculus, and applied to classify digits from the MNIST dataset.

Python Matplotlib NumPy Pandas
Transmission Line Fault Detection with YOLOv8

Transmission Line Fault Detection with YOLOv8

A deep learning project that detects defects in transmission line insulators using YOLOv8 (Ultralytics). It uses a Roboflow dataset and runs on Google Colab for efficiency.

Python PyTorch YOLOv8 Roboflow Google Colab

Featured Articles

Article 1

Mathematical Analysis of Neural Networks for MNIST

Implementing MNIST Classification with NumPy and Matrix Calculus

Article 4

Detecting Transmission Line Faults with YOLOv8

Our electric grid is outdated, and not enough people are talking about it

Article 2

Deep Learning Techniques for Image Colorization: A Step-by-Step Guide

Colorizing Grayscale Images Using Caffe and Deep Learning Models

Article 3

Diffusion Models: How AI Turns Noise Into Art

Exploring Denoising Diffusion Probabilistic Models (DDPMs)

Slide Decks

Saving $300M+ Globally With Optimized Model Deployment | Microsoft x TKS

Saving $300M+ Globally With Optimized Model Deployment | Microsoft x TKS

Developed a proposal for an acceleration framework that optimizes ONNX model deployment on hardware, reducing inference costs by up to 40%, and potentially saving $300M annually.

Slide Deck 2

The $2.3 Billion Cost of IKEA's Communication Breakdown | IKEA x TKS

Developed a proposal for an internal communications software, Axonify and FIKA, projected to increase global revenue by $13.5M at IKEA.

Slide Deck 3

Reducing Medical Errors with Programmable Materials in MedTech

Pulse oximeters are 3x more likely to give falsely high readings for people with darker skin, contributing to healthcare disparities. Plasmonic materials can improve accuracy by its property of scattering light to penetrate the skin. Best Overall @TKS Toronto Hackathon

Slide Deck 4

Data Storage Solution - DNA

Data storage costs have surged by 205% over the past five years. DNA storage is a promising energy storage solution, as it is less expensive, more energy-efficient and longer lasting. Top 5 @TKS Global Hackathon