Armin Hadzic Email & Phone Number

Lexington, KY, US

Lexington, Kentucky, United States

Laurel, Maryland, United States

• Designed and implemented deep learning methods for applied research in computer vision, remote sensing, medical imaging, and neuroscience.
• Developed models robust to bias in classification of skin diseases, reducing skin tone bias by 7% while maintaining 85% accuracy.
• Integrated geospatial products into artificial neural networks for high resolution building damage classification, structure localization, and green house gas regression.

Lexington, KY

Computer Vision (CV) and Natural Language Processing (NLP) Machine Learning Research Assistant.

Laurel, MD

Designing overhead imagery neural networks to identify and regress displaced community characteristics for disaster relief efforts.

Lexington, Kentucky

• Developed, maintained, and tested a jet engine diagnostic and fault resolution system, saving over $100,000 by automating engine maintenance diagnostics.
• Integrated and streamlined a legacy cross-platform build system with modern development tools, mitigating build errors and reducing development time.

Lexington, Kentucky

• Streamlined the user interface and reduced diagnostic time of jet engines by identifying, isolating, and purging Onboard Maintenance System inefficiencies and defects.

Lexington, Kentucky

• Implemented Control and Diagnostic System Verification and Validation Testing for 3 P&W Turbofan Jet Engine variants.
• Led an automation team in streamlining, optimizing, and organizing over 640 test plan, data, and code reviews, reducing the formal testing process by 3 months.
• Discovered mission critical control logic, software, and documentation defects through root-cause analysis and test script implementation, leading to best in class, safe, and high performance jet engines.

Lexington, Kentucky

• Automating the US Road Assessment Program (usRAP) road safety assessment using a deep convolutional neural network to directly estimate roadway safety based on street-level panorama images, reducing evaluation time to.
• Integrated the roadway safety estimator into a GPS vehicle routing system to enhance navigation with the capability to identify a balanced, safe and fast, driving route.

Lexington, KY

• Developing an Android application to aid users in locating men's washrooms containing changing tables, in order to alleviate the stress of searching for baby friendly environments.
• Devised a resilient GUI to deliver customer satisfaction, while adhering to the latest Android design philosophies.
• Designed the application and tests to ensure compatibility with legacy Android OS, increasing the customer base by 64%.
• Explored Android application development and Android OS, to meet the front-end and back-end needs of the application.

Lexington, Kentucky Area

• Reengineered a temperature and humidity sensor data retrieval application by mitigating the risks and defects of the predecessor, while improving on the data collection consistency, application reliability, and user.
• Pioneered and developed a GUI and 3D topography mapping application to visually analyze 5,000 point datasets, generating streamlined product testing, seamless user experience, and refined product quality.
• Designed test cases, executed performance testing, implemented root-cause analysis, and generated test reports on over 20 emerging products, prolonging end-to-end system lifecycle by up to 20%.

Florence, Kentucky

• Designed and implemented a software algorithm for streamlined Automated Guided Vehicle (AGV) routing, saving $57,000 per year in scrap reduction and transportation costs.
• Developed and tested a software tool used to calculate optimal AGV travel times and analyze data to isolate multiple performance bottlenecks, leading to discoveries in AGV routing efficiency and increased product.
• Identified and engineered a strategy to improve the reliability of barcode scanning, resulting in reduced frequency of stalling in the production pipeline and boosting product yield.
• Showcased AGV routing software/hardware project at the JCI intern symposium, galvanizing teams of developers to invest in automation efficiency to improve their respective automation frameworks.

Master Of Science - Ms, Computer Science, 4.0 Gpa

Bachelor’S Degree, Computer Engineering, 3.8 Gpa

Bachelor'S Degree, Electrical Engineering, 3.75 Gpa