Jianing is a Machine Learning Engineer at Inception, specializing in inference, reinforcement learning, and diffusion language models. His experience spans roles at Cohere, where he focused on ML systems for LLMs using TensorRT-LLM, and PlayAI, where he significantly improved SGLang performance. He holds both a Masters and Bachelors degree from the University of Toronto.
He chose machine learning as a profession because he believes in its potential to turn computation into applications that can bring society closer to absolute equality and maximal universal utility. This philosophical motivation drives his interest in the technical and moral aspects of AI development.
Unique fact: Jianing ranked in the top 3 out of all participants in the University of Toronto Math Contest.
Read the full overview →Unless the value is proven by data, they are unlikely to value fancy features. It is very likely that they will negotiate pricing or other important terms. They prefer to analyze logically and value objective facts over emotions.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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