Kenneth Wang

Machine Learning Engineer @NETINT Technologies

Toronto, ON, CA

Conducted research and developed the Generative AI models, such as LLMs, VLM, Multimodal LLM, Audio Translation, RAG, and Diffusion model for the AI HW Optimized and fine-tuned the ML/CV model to improve runtime performance & accuracy on HW Developed model compression and quantization techniques for AI HW to improve runtime performance and accuracy Developed and optimized highly scalable and reliable ML infrastructure, including distributed training, model inference engine, and deployment automation, ensuring low-latency inference and efficient resource utilization Developed/optimized the ML compilers, implemented ML kernels/strategies to utilize capabilities in AI HW optimally. Implemented a multi-model RAG evaluation pipeline with semantic retrieval, integrating an LLM judge with statistical NLP metrics for automated quality assessment of RAG systems. Developed an automated pipeline for model profiling, compatibility verification, fine-tuning, debugging, and deployment Worked with customer teams to deliver state-of-the-art ML models and new AI features Worked with the hardware/firmware team to integrate ML models into the AI chip workflow

Lakehead University

Master of Computer Science, Computer Vision | Machine Learning | Super-Resolution | GANs | Video Enhancement | Transfer Learning

Xi'an University of Arts and Science

Bachelor of Computer Science, Computer Science