Yankai Chen

Cloud Solution Engineer @ Tencent Cloud

About

I'm a rigorous and analytical thinker, as well as a systematic problem solver. Besides having a solid background in Mathematical Logic and Discrete Math, I've also taken multiple graduate-level math courses, including Topology, Commutative Algebra, and Measure Theory. On the practical side, I have experience in ML and AI-related professional development within a market-oriented environment. I am eager to apply my expertise to drive impactful solutions to complex engineering challenges in ML/AI.

Country

United States

City

Greater Chicago Area

Industry

Computer Software

Skill

Machine Learning, Python (Programming Language), Transformer Models, Natural Language Processing (NLP), Algorithms, Parallel Programming, Distributed Systems, Cloud Infrastructure, C (Programming Language), Go (Programming Language), Research Projects, Convolutional Neural Networks (CNN), Algebraic Geometry, Problem Solving, Large Language Models (LLM), Reinforcement Learning, Discrete Mathematics, Mathematics Education, Graph Algorithms, Algorithm Analysis

Experience

Cloud Solution Engineer

Tencent Cloud

2025-7 - 2025-9 · 3 mos

Shenzhen, Guangdong, China

-- Leveraged web crawlers and ML pipelines to collect and analyze data from hundreds of AI and robotics firms, filtering for potential customers and boosting sales quality by 15%. -- Investigated data storage and high performance computation needs of dozens of clients and devised corresponding Cloud solutions. -- Collaborated with cross functional teams to analyze cloud requirements which led to winning 2 successful biddings.

Software Engineer

INOVANCE

2024-9 - 2025-4 · 8 mos

-- Sorted HR-related data in the company's database, incorporated LLM api to extract keywords from comments; designed and implemented a model that predicted resignations with machine learning, achieving an accuracy of 90%. -- Collaborated with a team of 4 to implement an unsupervised, visual based system that scans PCB boards’ components for defects before they enter the market; less than 1‰ defects would pass the scan. -- Designed product line scheduling system that synchronizes cycles of machines based on Chinese Remainder Theorem, resulting in 15% decrease in machine idle time. -- Led 5 seminars for 10 employees on Machine Learning and LLM technical knowledge.

Teaching Assistant

University of Chicago

2022-10 - 2023-3 · 6 mos

-- Supported classroom instruction for Analysis course made up of 100+ students; responsible for grading assignments, hosting problem solving sessions, and mentorship of curriculum.