Jianing Li

Critic
DISC Type : C

Machine Learning Engineer at Inception

United States

Overview

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.

Personality Overview

Critic

Information Seeker

Negotiator

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.

Topics They Care About

LLM Optimization
His work at Cohere and PlayAI involved co-designing LLM architecture and systems, using TensorRT-LLM, and making SGLang significantly faster for TTS.
Advanced ML Models
Focuses on reinforcement learning and diffusion language modeling in his current role, building on his research in differentiable annealed importance sampling at the Vector Institute.
Deep Learning Graphics
During his internship at NVIDIA, he designed a deep learning graphics system that integrated traditional computer graphics approaches to represent 3D objects.

Media Appearances

Jianing has no verified media appearances

Work History

5-2025
Machine Learning Engineer at Inception
2-2025 - 5-2025
Machine Learning Engineer at PlayAI
8-2023 - 1-2025
Member of Technical Staff, ML Systems at Cohere
9-2020 - 4-2021
Statistical Machine Learning Researcher at Vector Institute
12-2019 - 8-2020
Deep Learning Research Intern at NVIDIA

Education

9-2021 - 4-2023
Master of Science - MS from University of Toronto
9-2016 - 4-2021
Bachelor of Applied Science - BASc from University of Toronto

More Information

Social Presence :

Prographics :

Exp : 3 Location : United States Job Level : Junior Designation : Machine Learning Engineer at Inception
URL has been copied!

Insights For Selling To Jianing

During A Call Or A Meeting

DO's

  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • Don’t forget to mention how you compare to competition on both features and pricing
  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories

DONT's

  • Don’t rush them till they have clearly gotten all the necessary information
  • Don’t try too hard to build a relationship with them
  • Don't give superficial answers, they are easily rattled by them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Jianing is

  • Proof of ROI, low pricing and objective proof points are the important factors for them.
  • Will you ever get a clear answer from Jianing

  • They do not mind saying no if they believe that it is the right decision.

Insights For Deal Planning

    How fast (or slow) will Jianing move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Jianing take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Jianing

Personality Compatibility


More Profiles

Discover additional public profiles from our index.

Search more profiles

Looking for someone else? Search here for anyone.

Or visit Humantic AI to know more.