I am Corban Czap, an AI/ML Engineer based in Orlando, FL, specializing in architecting and deploying deep learning systems for orbital prediction, computer vision, and NLP at production scale. I translate cutting-edge research into cloud-deployed, client-facing solutions that deliver measurable performance gains. I have delivered end-to-end AI pipelines from data ingestion to model deployment using Python, TensorFlow/Keras, and Azure, achieving significant accuracy improvements and operational efficiencies in aerospace and insurance. I enjoy collaborating with cross-functional teams to translate complex data into actionable insights that drive decision-making and business outcomes.

Corban Czap

I am Corban Czap, an AI/ML Engineer based in Orlando, FL, specializing in architecting and deploying deep learning systems for orbital prediction, computer vision, and NLP at production scale. I translate cutting-edge research into cloud-deployed, client-facing solutions that deliver measurable performance gains. I have delivered end-to-end AI pipelines from data ingestion to model deployment using Python, TensorFlow/Keras, and Azure, achieving significant accuracy improvements and operational efficiencies in aerospace and insurance. I enjoy collaborating with cross-functional teams to translate complex data into actionable insights that drive decision-making and business outcomes.

Available to hire

I am Corban Czap, an AI/ML Engineer based in Orlando, FL, specializing in architecting and deploying deep learning systems for orbital prediction, computer vision, and NLP at production scale. I translate cutting-edge research into cloud-deployed, client-facing solutions that deliver measurable performance gains.

I have delivered end-to-end AI pipelines from data ingestion to model deployment using Python, TensorFlow/Keras, and Azure, achieving significant accuracy improvements and operational efficiencies in aerospace and insurance. I enjoy collaborating with cross-functional teams to translate complex data into actionable insights that drive decision-making and business outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Agent Team Member at Insurance Agency
February 1, 2024 - Present
Automated monthly policy renewal reporting in Excel/VBA, reducing processing time by 40% and eliminating manual data entry errors. Managed a portfolio of 50+ active policies, applying analytics to identify upsell opportunities, increasing bundled coverage sales by 15% YoY. Provided Tier-1 technical troubleshooting for local network and proprietary web apps, minimizing downtime and improving agent productivity. Earned 4-40 Customer Service License.
Legislative Intern at Legislative Office
May 1, 2018 - September 1, 2018
Co-authored legislative drafts on opioid addiction treatment and unclaimed property reform, leveraging comparative law research to inform policy design.

Education

Master of Science in Computer Science (M.S.) at Full Sail University
January 11, 2030 - July 1, 2025
Bachelor of Arts in Political Science at University of Pittsburgh
January 11, 2030 - April 1, 2020

Qualifications

4-40 Customer Service License
January 11, 2030 - January 27, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Other