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Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

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charlesheese/README.md

Hi, I'm Charles Heese 👋

I'm a Computer Science student at Northeastern University (AI Concentration) with interests in quantitative finance, machine learning, and applied AI systems

Interests

  • Quantitative finance & market modeling
  • Machine learning & statistical modeling
  • RAG systems
  • Computer vision & applied AI

Technical skills

  • Languages: Python, Java, R, C, JavaScript
  • ML/AI: scikit-laern, TensorFlow, XGBoost, LlamaIndex, MediaPipe
  • Data: NumPy, Pandas, SQL
  • Tools: Git, Linux, OpenCV, REST APIs, JSON

Experience

IBM

  • Software Developer Co-op (August 2026 - December 2026) Watsonx Orchestrate

MFS Investment Management

  • Quantitative Research Associate Intern (Summer 2026) Equity research
  • AI Automation Developer Co-op (July 2025 - December 2025) Power Platform

Selected Projects

RAG Pipeline for SEC 10-K Filings
Built a retrieval-augmented generation pipeline to analyze unstructured SEC filings using vector similarity search and table-aware retrieval.

Predicting Market Volatility Around Earnings
Developed and evaluated regression, tree-based, and sequence models to predict post-earnings volatility across S&P 500 equities.

Computer Vision Posture Assessment Tool
Implemented a MediaPipe-based posture analysis system using skeletal landmark data and supervised ML for real-time inference.

Connect

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  1. RAG-Pipeline RAG-Pipeline Public

    RAG pipeline for querying SEC 10-K filings using vector similarity search.

    Python

  2. Stock-Volatility Stock-Volatility Public

    Machine learning models to predict short-horizon stock volatility around earnings events using price, volume, and event-driven features.

    Jupyter Notebook

  3. WorkFromHomeAI WorkFromHomeAI Public

    Computer vision posture assessment tool using MediaPipe skeletal landmarks and supervised machine learning with real-time inference.

    Jupyter Notebook

  4. SYS SYS Public

    Website for Northeastern students to exchange tickets

    Python