# Tyler Lam

> Software Engineer at IXL Learning

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/tylerlam1

## Work Experience
### Software Engineer @ IXL Learning
Jan 2025 – Present | San Francisco Bay Area
Analytics Data Team

### COMPSCI 169A (Software Engineering) Head Teaching Assistant @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2023 – Jan 2025 | Berkeley, California, United States
• Taught Software Engineering principles covering topics such as the Agile Framework, Model-View-Controller Architecture, Ruby on Rails, and Test-Driven Development to a weekly section of 30 students

### COMPSCI 61A (Structure and Interpretation of Computer Programs) Head Teaching Assistant @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2023 – Jan 2023 | Berkeley, California, United States
• Head of Content: Led the course content team for Berkeley’s largest computer science class in drafting assignments covering introductory programming concepts such as Recursion, Trees, and Object-Oriented Programming used by over one thousand students every semester
• Taught weekly discussion and lab sections covering topics such as Recursion, Iteration, Linked Lists, and Trees to cement students’ conceptual understanding of course material

### COMPSCI 61A Course Tutor @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2022 – Jan 2023 | Berkeley, California, United States

### COMPSCI 61A Academic Intern @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2022 – Jan 2022 | Berkeley, California, United States
Provided conceptual and coding assistance to a weekly section of about 30 students in labs with a team of other academic interns for CS61A, one of UC Berkeley’s largest courses

### Computational Research Intern @ Brookhaven National Laboratory
Jan 2024 – Jan 2024 | New York City Metropolitan Area
• Built a user-configurable, randomized code generator harnessing open-source large language models including Meta Llama and Google CodeGemma fine-tuned for code generation to generate error-free, executable, and human-like programs for use in generating program datasets for machine learning research on program performance modeling
• Presented associated research poster at the Student Research Competition at The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC ’24)


## Education
### Bachelor of Arts - BA in Computer Science; Bachelor of Arts - BA, Data Science
University of California, Berkeley

### Exchange Semester
National University of Singapore


## Contact & Social
- LinkedIn: https://linkedin.com/in/tylerlam

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Source: https://flows.cv/tylerlam1
JSON Resume: https://flows.cv/tylerlam1/resume.json
Last updated: 2026-04-11