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

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.
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.

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