AI Software Engineer | Full-Stack Developer
Experienced software engineer with a proven track record in developing impactful applications and systems. Now focusing on AI and Machine Learning, leveraging a strong foundation in Python, system architecture, and full-stack development to build intelligent solutions. Seeking innovative AI engineering opportunities.
With over a decade of experience architecting and delivering software solutions, I thrive on tackling complex challenges. My background spans full-stack development, database administration, and leading projects from concept to deployment, notably creating systems that generated significant cost savings and earned state-level recognition for the City of Green Bay.
After a period dedicated to caregiving, I've immersed myself in the field of Artificial Intelligence and Machine Learning, acquiring new skills through focused learning and project work (see below). I'm passionate about leveraging AI to solve real-world problems and excited to contribute my robust engineering foundation and fresh AI perspective to a forward-thinking team.
Developed an AI-powered tool using OCR and NLP (spaCy/Transformers) to extract key information from scanned loan application documents (W2s, bank statements), automating data entry. Built with Python and TensorFlow/PyTorch.
Created a machine learning model (using Scikit-learn/XGBoost/PyTorch) to predict the likelihood of NFL player prop success based on historical stats, opponent data, and betting lines. Involved data scraping, feature engineering, and model evaluation.
[Brief description of another project showcasing relevant skills - e.g., time series analysis, computer vision, a complex web app, etc. Mention key technologies like TensorFlow/PyTorch if applicable.]
I'm actively seeking opportunities in AI Software Engineering. If you think my skills and experience would be a valuable addition to your team, please reach out!
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