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PhD of Computer Science and Engineering

Master of Electrical Engineering

Bachelor of Electrical Science and Technology

AI Engineer Internship

• Led AI micro-server SE5 development on TPU accelerator, building cross-compilation environment, porting PyTorch (YOLOv5/7/8) models to FP32 bmodels via NNTC toolchain for target detection, and achieving INT8 quantization with accuracy tuning.

Software Engineer Internship

• Developed user info interaction web service with vertical sharding and RabbitMQ, optimized data storage with Redis/MySQL, applied MapReduce for privacy-preserving big data processing, and leveraged deep learning & random forest to predict broadband off-grid behavior with feature importance analysis.

Data Engineer Internship

• Evaluated MySQL solutions for project/client needs and leveraged virtualization to efficiently deploy test environments and accelerate self-test data collection.

CSE 60556 Large Language Models (TA, PhD level)

• A graduate-level course on large language models covering their tasks, architectures, training, reasoning, efficiency, applications, and societal challenges.

Theory and Practice of Large Models (Lecturer)

• A course on AI compilers that teaches principles, design, and optimization with TPU-MLIR for efficient TPU use and career preparation in AI.

E6770 Network Virtualization and Cloud Computing (TA, MS level)

• An advanced study of communication protocols, network architectures, flow/congestion control, and performance evaluation in integrated networks.

Master of Science Award of Excellence

• Top graduating MS students are recognized with the Master of Science Award of Excellence that is awarded to less than 5% of the graduating class.

MS EE Honors Program

• Active EE MS students with a GPA in the top 10% of the class are included in the MS Honors program.