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ojaura/README.md

Hi, I'm Jessica 👋

Software Engineer and incoming Master of Science in Computer Science (Machine Learning) student at Georgia Tech.

I'm interested in building AI-powered systems that improve decision-making in finance and healthcare.

Current Focus

  • Retrieval-Augmented Generation (RAG)
  • Machine Learning
  • Agentic AI Systems
  • Software Engineering

Featured Projects

FinRecon AI

RAG-based financial analyst assistant that:

  • Answers questions about earnings reports
  • Detects discrepancies across transaction datasets
  • Uses Azure OpenAI and ChromaDB

Breast Lesion Classifier

PyTorch-based convolutional neural network trained on BreastMNIST for breast lesion classification.

MedEasy Appointment System

Java-based doctor appointment matching system using object-oriented design principles.

Tech Stack

Python • Java • SQL • Git • PyTorch • Scikit-learn • Azure OpenAI • ChromaDB • Playwright

Currently Learning

  • Georgia Tech OMSCS (Machine Learning)
  • Advanced ML Systems
  • Retrieval-Augmented Generation
  • AI Agents

📫 Connect: https://www.linkedin.com/in/omo-jessicaidahosa/

Pinned Loading

  1. Clowenp/ForView Clowenp/ForView Public

    Deltahacks

    Python 1 1

  2. finrecon-ai finrecon-ai Public

    AI-powered financial analyst assistant that answers questions about earnings reports and detects transaction discrepancies using Azure OpenAI, ChromaDB, and Retrieval-Augmented Generation (RAG).

    Python

  3. breastmnist-lesion-classifier breastmnist-lesion-classifier Public

    PyTorch-based breast lesion classification model trained on the BreastMNIST dataset using convolutional neural networks.

    Jupyter Notebook

  4. mammogram-radiomics mammogram-radiomics Public

    Radiomics pipeline for extracting and analyzing breast imaging features using PyRadiomics and the CBIS-DDSM dataset.

    Python

  5. medeasy-appointment-system medeasy-appointment-system Public

    Object-oriented doctor appointment matching system built in Java that recommends physicians based on patient symptoms, preferences, and availability.

    Java