Hanwool Park

Senior ML engineer leading 3D medical imaging projects, specializing in MRI/CT data processing and deep learning in PyTorch for segmentation, registration, and shape completion. Expert in building full-stack web applications using React.js, Node.js, and Flask, deploying in Docker for scalability. Manages end-to-end pipelines and project coordination with Jira.

Provide latest HW samples and SW to the customer engineering and test facilities. Receive SW and HW claims, make the first analysis and communicate it to the developers, and track the problem to solution.

Analyzed functional requirements and test specifications in Jira. Generated automated test cases in vTestStudio with CAPL and executed the test cases in CANoe. Discovered and reported the defects of software and hardware. Currently, creating automation test tools in Jira with Python.

Implemented benchmarks for linear algebra calculations in the C++ libraries xtensor and Vigra. Implemented tests for a C++ library based on boost::filesystem.

Relevant Coursework: Introduction to Deep Learning, Data Mining and Knowledge Discovery, Techniques in Artificial Intelligence, Machine Learning, Advanced Deep Learning for Robotics, Autonomous Driving, Natural Language Processing, Blockchain-based Systems Engineering, Network Security, User Modeling and Recommender System

Grade: 3.94 / 4.5 An Honor of National Science Scholarship Recipient (4 years) Relevant Coursework : C-Programming, Data Structure, Introduction to Java Programming, C++ Programming, Computer Architecture and Organization, Operating System, Database System, Object-Oriented Design Pattern, Embedded Processor Application, Algorithm Analysis, Software Engineering, Computer Networks, Compiler Theory, Programming Language Theory