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rlhinrichs/README.md

👋 ¡Hola! I'm Rebecca Hinrichs

AI Engineer · Data Scientist · Amateur Researcher


🎯 What I'm About
I ♥ finding creative ways to solve hard problems!
Hobbies include AI research, optimizing AI systems for performance, obsessing over λs.
Work spans AI architectures and data handling / prediction modeling.
Love collaboration! Please email me if interested!

🚀 What I'm Working On atm
Making a custom LLM & MCP server from scratch 🛝


📌 Selected Projects

🛌 DeepSleepAI • Automated Time-Series Classifier

Sleep stage classifier on EEG signal data implementing a Dynamic Bayesian Network to model transitions.
📈 Outperforms CNN baselines! Journal publication in progress.

🧠 PyEEG-GPU • GPU-accelerated EEG Feature Extractor

Python library for high-speed EEG statistically-derived feature extraction using CUDA + CuPy.

🩺 Natural Language Processing • Medical Diagnosis Generator

Creating a RAG-tuned LLM. Q&A query-response for a medical diagnosis of a symptomatic patient.
📈 Dual-GPU model achieves 0.51 avg-loss in final epoch.

👁️ Computer Vision: • Three Sample Projects • Facial & Object Recognition

Discussion & examples of contour mapping, object segmentation and biometric authentication using CNNs, HoG, LBP, cv2, ViT.

🧊 Deep Learning • Tri-Axial Gyroscope Classifier

3D time-series signal classifier using Bi-LSTM neural network model engineering with fine-tuning techniques for optimized performance.
📈 Achieves 91% accuracy using F1 scoring & ROC-AUC metrics.

λ EigenSolvers • Numerical Methods in Engineering

Scientific computing solvers for ODEs, PDEs, boundary value problems, matrix factorization and optimization techniques using NumPy & SciPy.

🧌 Wumpus • Agentic AI

Bayesian Inference and Constraint Satisfaction Programming to guide a free agent using perceptions to search a grid space and perform a task while calculating probabilities of dangers en route.

📊 Machine Learning • Foundations in Data Science

Exploring the underpinnings of AI: how data is processed, meaning is extracted, and predictions are made.


🔔 More Projects! 📄 View My Full CV
🔗 LinkedInYouTubeEmail


🧠 Rabbit holes I'm into these days:
Keeping AI Safe • Multimodal AI Systems • Scalable AI in Scientific Discovery • Quantum AI + Machine Learning


Pinned Loading

  1. pyeeg-gpu pyeeg-gpu Public

    〰️ GPU-Accelerated Python Library for Statistical Feature Extraction from EEG Signals

    1

  2. deepsleepai deepsleepai Public

    🧠 DeepSleepAI – EEG Signal Automated Classification

    1

  3. neural-networks neural-networks Public

    📊 Time-Series Forecasting for Wearable Device Sensors

    Jupyter Notebook

  4. tumor-classification tumor-classification Public

    🧬 Tumor Detection in Medical Images

    Jupyter Notebook

  5. lang-learn lang-learn Public

    🗣️ Natural Language Processing: building a RAG-tuned LLM for offline use

    Jupyter Notebook

  6. numerical-methods numerical-methods Public

    🧮 Numerical Methods in Science & Engineering

    Jupyter Notebook