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Yongha Kim is listed as Applied Scientist at KC ML2 at KC ML2, a company with 9 employees, based in Hwaseong, Gyeonggi, Korea, Republic Of. AeroLeads shows a matched LinkedIn profile for Yongha Kim.
Yongha Kim previously worked as Applied Scientist at Kc Ml2 and Field Algorithm Developer at Nova Measuring Instruments. Yongha Kim holds Master'S Degree, Electrical, Electronics And Communications Engineering from Korea University.
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Yongha Kim is a Applied Scientist at KC ML2 at KC ML2. They possess expertise in algorithms, semiconductors, machine learning, nanotechnology, simulations and 21 more skills. They is proficient in English.
Listed skills include Algorithms, Semiconductors, Machine Learning, Nanotechnology, and 22 others.
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Seoul, South Korea
Meenthttps://github.com/kc-ml2/meent- Developed 'Meent': code for optical simulations and optimization. -- https://github.com/kc-ml2/meent -- implemented on Numpy, JAX and PyTorch. -- Supports Automatic Differentiation (AD) which returns gradient of loss per each input variable. -- with the help of JAX pmap, Meent support parallelization(CPU and GPU).
Hwasung, Korea And Rehovot, Israel
- Machine Learning Algorithm developer -- developed and implemented ML algorithms including regression, clustering, PCA, etc. with optical data- ML assisted Process Control in Etch step (co-work with Etcher vendor) -- wrote production-level code (Engine part for ML) -- Data acquisition, integrity check, parsing, cleaning -- Data analyses & sharing- Data.
Suwon, Gyeonggi-do, Korea
- Research on QCL (Quantum Cascade Laser) device development- Semiconductor material growth and property extraction- Semiconductor device fabrication & characterizing it’s electrical/optical properties
Yuseong-gu, Daejeon, Korea
[Technical research personnel for military service]- OLED Device fabrication, evaluation and data analysis- SW Development – Data management & analysis tool with VBA on internal network- Operation and maintenance of semiconductor process and analysis tools- Customer support by co-project for material and equipment evaluation
Yongin, Gyeonggi-do, Korea
[Technical research personnel for military service]- Polymer synthesis and evaluation especially for electro-material products- Mechanical/Electrical Simulation of the products- Customer support with co-project regarding the effects of material properties- Launching member of a new team with responsibility for all the infrastructure setup
Other employees you can reach at kc-ml2.com. View company contacts for 9 employees →
Jaehong Choi
Colleague at Kc Ml2Daechi-dong, Seoul, South Korea, Korea, Republic Of
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Sooyong Shin
Colleague at Kc Ml2Daejeon, South Korea, Korea, Republic Of
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Alexander Holston
Colleague at Kc Ml2South Korea, Korea, Republic Of
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Jinmyoung Lee
Colleague at Kc Ml2South Korea, Korea, Republic Of
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Chaehyeuk Lee
Colleague at Kc Ml2South Korea, Korea, Republic Of
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Tu Vo
Colleague at Kc Ml2Seoul, South Korea, Korea, Republic Of
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Anthony Jung
Colleague at Kc Ml2Gangnam District, Seoul, South Korea, Korea, Republic Of
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Theme: Nano-material based Field Effect Transistor (FET) and its electrical characteristics Nano-material Field Effect Transistor.
Participation in Android App development contest by Google in 2008 -- Android App development in JAVA with Eclipse -- Linux server setup.
Quick answers generated from the profile data available on this page.
Yongha Kim works for KC ML2.
Yongha Kim is listed as Applied Scientist at KC ML2 at KC ML2.
Yongha Kim is based in Hwaseong, Gyeonggi, Korea, Republic Of while working with KC ML2.
Yongha Kim has worked for Kc Ml2, Nova Measuring Instruments, Korea Advanced Nano Fab Center, Lg Chem, and Doosan.
Yongha Kim's colleagues at KC ML2 include Jaehong Choi, Sooyong Shin, Alexander Holston, Jinmyoung Lee, and Chaehyeuk Lee.
You can use AeroLeads to view verified contact signals for Yongha Kim at KC ML2, including work email, phone, and LinkedIn data when available.
Yongha Kim holds Master'S Degree, Electrical, Electronics And Communications Engineering from Korea University.
Yongha Kim is listed with skills including Algorithms, Semiconductors, Machine Learning, Nanotechnology, Simulations, Programming, R&D, and Big Data.
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