Experience

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  Uc irvine

  Apr 2020 - Jun 2021

  Undergraduate researcher

  Undergraduate researcher in AICPS lab at UCI.-Research is on graph-based deep learning for computer security, including trojan detection and binary function similarity classification. -Formulated GNN models in PyTorch for learning on non-Euclidean graph-structured data in supervised learning tasks for hardware trojan detection and graph similarity classification.-Designed Python and shell scripts for preprocessing/training/testing pipelines and experiments.-Fine-tuned hyperparameters to optimize performance based on evaluation metrics.-Delivered weekly presentations for personal project and status updates to lab group.-Mentored an undergraduate on graph learning and experimental procedures for one quarter.-Composed a senior research thesis and presented at UROP Symposium 2021.-Co-author of "HW2VEC: A Graph Learning Tool for Automating Hardware Security" in HOST 2021. Show less

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  Microchip technology inc.

  Sept 2021 - now

  Software engineer

  * Major developer of ML ops unit tests and bit-accurate simulator and compiler for VectorBlox 2.0 ML accelerator, integrating TF Lite framework compatibility* Stepped up to lead the development and release of SDK EAP for clients’ urgent deadlines* Collaborated closely with Marketing Engineers in showcasing the PolarFire FPGA with CoreVectorBlox at trade shows and conferences targeting edge AI and computer vision* Fine-tuned post-processing code in C and Python for various computer vision tasks, including image classification, object detection, face recognition, pose keypoints, and car lane detection* Developed in-depth quantitative technical analysis against a competitor’s leading embedded vision products, which our FAEs and Marketing Engineers are still leveraging today* Updated and automated SDK testing pipelines in Python using Jenkins, cutting testing time by 50% Show less