Hi, I’m Zach Shaffer

I’m an AI Engineer with 4+ years of experience building machine learning models, computer vision solutions, and scalable cloud-based data pipelines. Skilled in applying cutting-edge research to practical, high-impact applications. Passionate about driving innovation through deep learning, generative AI, and real-time analytics.

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EXPERIENCE

AI Engineer

HyperSpectral

Sep 2022 – Nov 2024

  • Led development of innovative classification models of spectral data, boosting prediction accuracy by 10%.
  • Designed automated data ingestion workflows using AWS Lambda, reducing preprocessing time by 25%.
  • Researched and implemented cutting-edge academic methodologies for real-world product development.
  • Optimized data pipelines for scalability and efficiency, improving training times by 20%.

Software Engineer II

HyperSpectral

Jul 2020 – Sep 2022

  • Developed and deployed unsupervised machine learning models, improving R&D data analysis by 30%.
  • Built a scalable simulation data pipeline processing 5M+ entries monthly.
  • Authored detailed technical reports contributing to successful patent filings and IP development.

Data Collection Lead

HyperSpectral

Nov 2020 – Jun 2021

  • Coordinated multi-site clinical partnerships for COVID-19 sample collection and analysis.
  • Managed sample processing workflows and ensured compliance with IRB protocols and HIPAA regulations.
  • Acted as liaison between clinical partners and executive leadership, ensuring operational continuity.

Software & Technology Consultant

Augmenteum Inc.

Jun 2018 – Aug 2018

  • Integrated AI-driven enhancements into augmented reality applications.
  • Designed computer vision algorithms for real-time object detection and tracking.
  • Developed performance metric dashboards in Excel, reducing reporting time by 40%.

Tech Stack

Programming

Python
MATLAB
SQL
NoSQL

ML Frameworks

TensorFlow
PyTorch
Keras
Scikit-Learn
XGBoost

Data Science

Pandas
NumPy
Matplotlib
Seaborn
A/B Testing

Computer Vision

OpenCV
PIL
MediaPipe

Generative AI / LLMs

Hugging Face
OpenAI API
RAG
Prompt Engineering
LangChain

MLOps & Deployment

Weights & Biases
Git
Docker
Kubernetes
CI/CD
Unit Testing

Cloud Platforms

AWS
GCP

Tools

Jupyter
Spyder IDE
REST APIs

Projects

Protein Fat Detection

Deep Learning model to predict protein and fat content in meat.

Python (100%)

View on GitHub →

OpenGL-Fractals

GPU-accelerated fractal zoom renderer using OpenGL shaders.

GLSL (61%)Python (39%)

View on GitHub →

AI Audio Vis

Audio-reactive visuals using AI and real-time audio input.

Python (100%)

View on GitHub →

CV-Projects

Computer vision experiments and projects using OpenCV, deep learning, and image processing.

Python (100%)

View on GitHub →

Workout Pose Detection V2

Pose tracking for workout feedback and form correction using MediaPipe and ML.

Python (100%)

View on GitHub →

Contact Me