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- Develop ML models for CV and NLP applications on AWS- Develop transformer-based deep learning (DL) models on AWS- Develop evaluation method of large language models (LLM)- Develop explainable DL models for medical imaging applications- Develop model compression algorithms (Quantization/Pruning)- Optimization of compiler for neural processing unit (NPU)
Athenahealth
View- Website:
- athenahealth.com
- Employees:
- 8372
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Lead Machine Learning EnigneerAthenahealthBoston, Ma, Us -
Senior Member Of Technical Staff - Data ScienceAthenahealth Nov 2021 - PresentBoston, Massachusetts, Us- Coding denials project: develop a coding-advice model to address denied medical claims- Pythia project: research/evaluate Large Language Models (LLM) and efficient transformer- Insurance mapping project: predict the eligibility class, patient ID number, patient name, etc.- Tie-to-order project: predict which order the document should be tied to -
Postdoctoral Research FellowMassachusetts General Hospital May 2019 - Oct 2021Boston, Ma, Us- Explainable Artificial intelligence (AI) model development for abnormal features on Chest X-ray- AI model development for Pulmonary Tuberculosis/COVID-19 on CXR- AI model development for Thyroid Eye Disease (TED) on CT- AI model development for Germinal Matrix Hemorrhage (GMH)/ Developmental Dysplasia Hip (DDH) on Ultrasound Videos- Web-based platform for collaborative annotating medical images for AI -
Principal Engineer (Dl)Samsung Electronics Mar 2019 - Sep 2019Suwon-Si, Gyeonggi-Do, Kr -
Senior Engineer (Dl)Samsung Electronics Aug 2016 - Feb 2019Suwon-Si, Gyeonggi-Do, Kr- Developed the first/second NPU IPs for Makalu/2020 application processor (AP) in System LSI- Developed the quantization and pruning algorithm for mobile/autonomous driving applications such as image classification, object detection, and scene segmentation- Developed the optimization algorithm of NPU compiler by utilizing SRAM maximally- Researched state of the art techniques in AI area -
Senior Engineer (Modem)Samsung Electronics Mar 2010 - Jul 2016Suwon-Si, Gyeonggi-Do, Kr- Developed and commercialized digital filters for TD-SCDMA system, C2K, and HRPD systems- Developed an unified resampling filters for one chipset solution including 2G/3G/4G systems
Doyun Kim Skills
Doyun Kim Education Details
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Yonsei UniversityElectronic Engineering -
Yonsei UniversityElectronic Engineering -
Yonsei UniversityElectrical And Electronic Engineering
Frequently Asked Questions about Doyun Kim
What company does Doyun Kim work for?
Doyun Kim works for Athenahealth
What is Doyun Kim's role at the current company?
Doyun Kim's current role is Lead Machine Learning Enigneer.
What is Doyun Kim's email address?
Doyun Kim's email address is dy****@****ail.com
What schools did Doyun Kim attend?
Doyun Kim attended Yonsei University, Yonsei University, Yonsei University.
What skills is Doyun Kim known for?
Doyun Kim has skills like Matlab, C, Rf System Engineering, Cic Filter Design, Rf Interface Design, Rf Impairments Compensation Filter Design, Digital Frontend Filter Design, Resampler Filter Design, Neural Network Optimization, Npu Compiler Optimization, Dl Frameworks, Python.
Who are Doyun Kim's colleagues?
Doyun Kim's colleagues are Lalitha Priyanka, Sonal Ambhore, Paula Jones, Rebecca Moulton, Vijaykrishnan M, Alı Atıf, Fredrick Pereira.
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