AI & CS Tutor | Python & ML | Clear Explanations + Fast Results

Hengchang L.

I am an undergraduate double major in Computer Science and Mathematics & Economics at Washington University in St. Louis (GPA 3.82/4.0; Dean’s List). I tutor math, statistics, and computer science with an emphasis on both rigorous theory and practical problem-solving, grounded in advanced coursework in calculus, differential equations, real analysis, numerical methods, stochastic processes, probability/statistics, algorithms, and machine learning.

I apply these skills in research and industry. I have worked as an AI Engineering consultant for Microsoft and as an AI Software Engineering Intern at Lenovo and Dell Technologies, building end-to-end data and ML systems and translating complex technical ideas into clear, structured explanations for non-technical audiences. I am also an undergraduate researcher at WashU developing probabilistic and ML models under faculty supervision.

I have extensive teaching experience as a Teaching Assistant for Differential Equations (200+ students) and Foundations for Higher Mathematics (100+ students). I led weekly Q&A sessions, tutored one-on-one, and provided detailed feedback on homework and exams, helping students overcome misconceptions and move beyond pattern memorization.

My teaching philosophy is that most “hard” topics are governed by a small number of unifying frameworks. I help students step back, see the structure organizing the material, and then practice targeted problems so formulas become intuitive and techniques become reusable. In sessions, I clarify definition, intuition, and technique, rebuild a clean mental model, and reinforce it with examples and checkpoints. My goal is to help students learn faster, gain confidence, and solve unfamiliar problems independently.