David Harvey
Technology professional transitioning into AI and low-level systems engineering. Combining strong analytical background from Amazon and Accenture with deep passion for machine learning and hardware optimization.
Self-taught in computer architecture, embedded systems, and AI/ML through hands-on projects and continuous learning. Leveraged Python and data analysis expertise to build ML models and automation systems.
Currently developing computer vision applications and exploring FPGA-based neural network acceleration. Seeking roles where I can apply my business acumen and growing technical expertise to solve complex engineering challenges in AI and embedded systems.
Real-time Object Detection System
Developed a computer vision system using PyTorch and OpenCV for real-time object detection. Implemented custom data preprocessing pipeline and model optimization techniques. Currently exploring TensorRT acceleration for embedded deployment.
FPGA Neural Network Accelerator
Building a custom neural network accelerator using FPGA development board. Learning hardware description languages (VHDL) and implementing basic matrix multiplication cores. Exploring efficient memory architectures for ML acceleration.
Retail Analytics ML Pipeline
Enhanced Amazon's retail analytics with machine learning. Built demand forecasting models using Python and scikit-learn, processing millions of transactions. Implemented automated feature engineering and model retraining pipelines.