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caitlon/README.md

Hi, I'm Katya πŸ‘‹

ML Engineer Β· AI Developer Β· Data Scientist

πŸ‘©β€πŸ’» About Me

  • πŸ’Ό ML/AI engineer with real-world experience in data engineering and analytics
  • πŸ›  Building production-grade ML systems using PySpark, Azure, Docker & FastAPI
  • πŸ§ͺ Collaborating with a university research group at CZU on applied ML methods
  • 🧠 Strong foundation in math, statistics, and clean architecture design

πŸš€ Featured Projects

Pneumonia Classifier – End-to-end FastAPI + Azure deployment for X-ray image classification
NIRS – Tomato Spectroscopy Analysis – Deep regression pipeline for analyzing tomato quality with NIR spectroscopy, MLflow tracking, spectral transforms, and rich visualizations

πŸ“ˆ GitHub Stats & Activity

stats graph streak graph languages graph

πŸ› οΈ Tech Stack

Languages

Python R SQL (PostgreSQL) MongoDB Bash

ML & Data Science

PySpark PyTorch TensorFlow Jupyter MLflow Databricks HuggingFace LangChain

Cloud & Infrastructure

Azure Docker FastAPI GitHub Actions

Corporate Stack

Confluence Jira Bitbucket

github-snake

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  1. NIRS NIRS Public

    Advanced ML pipeline for tomato quality assessment using NIR spectroscopy. Features preprocessing tools, multiple regression models, and experiment tracking.

    Python

  2. pneumonia-classifier pneumonia-classifier Public

    A deep learning-based solution for pneumonia detection from chest X-ray images, featuring a fine-tuned ResNet18 model with FastAPI integration, MLflow experiment tracking, and Azure deployment.

    Python