Sr. Network Engineer

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Developed and maintained an optimization tool for the Final Fantasy XIV Island Sanctuary Community using combinatorial optimization and constraint based filtering.
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Created and maintained a Discord.py bot integrated with ChatGPT and SQL to assist with generating NPCs, towns, and locales for TTRPG campaigns.
a Analyzed drive failure data through A/B testing to identify anomalies in the 0.01% contamination range, improving failure detection accuracy by 2%.
a Assisted with and peer reviewed a Quality Control project for hard drive test data over two months to ensure the reformatted data was processed correctly.
a Collaborated with multiple stakeholders across three operational groups to standardize Machine Learning project coding practices, provide support for inquiries, clarify data pipeline processes, and contribute to end to end machine learning workflows.
a Enhanced a Plotly Dash visualization tool, improving stakeholder understanding of drive chip analysis.
a Developed a Video Analytics model using OpenCV and the YOLOv4 framework trained on large video datasets to assist with reducing physical contaminants in factory clean rooms with a 95% model accuracy.
a Built a Predictive Analytics model using WTTE RNN, increasing production line uptime by 10% and reducing downtime due to screwdriver bit replacement.
a Optimized test time in factory data pipelines by 40% using regression modeling and a custom scorer.
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Co led Seagatea €s Citizen Data Science Program, mentoring over 100 participants on Python and KNIME, with a primary focus on Data Mining, Data Science techniques, and applying basic Machine Learning models such as Random Forest Regression and Decision Trees. This continued into my Data Scientist II responsibilities.