CS311 Algorithm Design: Teaches core concept in algorithm design such as Asymptotic Analysis, Greedy, Divide and Conquer, Dynamic Programming and Intractability. Hosted weekly lab sections and office hours (∼30 students)

CS220 Programming Methodology: Teach Typescript and coding methology. Hosted weekly lab sections, office hours (~20 students) and grading homework and exams

◦ Front-end developer: Collaborated with a dynamic team of full-time professionals to develop and renovate a functionally rich e-commerce website for a leading Japanese pharmacy company◦ Common code-base contributor: Contributed common code-base, applied to over 350+ different UIs and modals using Typescript, JavaScript, and Angular framework, to handle asynchronous open and close of modals, design the Observers for two ways data mapping from UI to data store, and refactor typed for components◦ Maintaining application’s state life-cycle: Facilitated and centralized life cycles of the state of the overall application, managed asynchronous operation, and provided dynamic data flow using NgRx and RxJS◦ Testing: Manually testing APIs using Postman, SQL, and debugging code for back-end in C# and Java

Course CS250: Introductory to Computation.- Taught discrete mathematics and logic concepts- Graded 200+ homework assignments and exam on a bi-weekly basis- Hosted weekly lab section with over 30 students and weekly office hours.

Courses CS110, CS160, CS210:- Working on a one on one tutoring session with students who need personal help during the semester

Collaborating with six researchers to automate process of classifying children's game designs by developing a machine learning model to process JSON files and classify keywords using BERT, a NLP framework- Investigated the characteristics of children's game design that can be extracted from Wearable Learning games by analyzing JSON representations of student game design.- Analyzing on structure representation of the game: Converted each state of the WL games into graph nodes and applied DFS to extract the number of loops and conditional branches.- Examining the language used by children: BERT, a multilabel text classification NLP model, is used to extract keywords and analyze the features of student-designed games in order to obtain knowledge of children behavior along with their game design trends.

Course CS187: Data structure and algorithm- Graded 250+ homework assignments and exam on a weekly basis- Hosted weekly lab sections with over 40+ students and office hours.

- Participating in a weekly reading group that discussed about pattern recognition using machine learning- Learning and parcticing on pre-processing image for model training using OpenCV and building model for basic machine learning problems using Python- Assisting in collecting data and model demonstration in SoundAI project- Classifying and supporting training model using LandingAI platform in detecting defective circuit board

- Public Journal: Research, synthesized, and wrote reports for the journal called: ”Fuzzy logic in controlling the forest fire - level forecast warning signage"- Link to journal: http://jmes.humg.edu.vn/en/archives?article=1256