ML Algorithm Engineer Intern
05/2023 - 08/2023
KLA Corporation (Milpitas, CA)
Skills:
C/C++

C/C++

Python

Python

PyTorch

PyTorch

TensorFlow

TensorFlow

Regression Analysis

Regression Analysis

EM

EM Simulation

Deep Learning

Deep Learning

Mentor: Dr. Jinchuan ShiManager: Dr. Phillip Atkins

Neural network solution for KLA AcuShape# chip architecture software

• Developed neural network to realize geometry critical dimension (CD) and spectra prediction/validation for Samsung V-NAND devices, substituting RCWA numerical method in the design loop.
• Designed bidirectional-training networks to accomplish software library generation with an 80% smaller training dataset and better linearity performance.

Investigate effective device degree-of-freedom (DOF) reduction via generative AI

• Built up a variational autoencoder-based model to effectively reconstruct and sample large DOF geometry critical dimensions (CD) of semiconductor devices into decreased DOF in compressed latent space.
• Perturbed compressed DOF CDs during high-quality spectra output regression optimization and decreased 70% of regression iterations/simulation resource usage.
Optical Engineer Intern
09/2017 - 05/2018
Xingyu Automotive Lighting Systems (Changzhou, China)
Skills:
C/C++

C/C++

Ansys

Ansys

Ze

Zemax

So

SolidWorks

Au

AutoCAD

EM

EM Simulation

Comsol

Comsol

Ma

Matlab

High-pixel digital lighting unit design

• Applied 3D modeling and optical trace simulations to design high-pixel, independently adjustable LED light matrices.
• Developed customized lighting projection functions for driving assistance in BMW lighting system team.