Brian Lui
Backend EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford CS | IPhO gold medalist
Now: RL/SFT on large-scale real-world and synthetic data for pre/mid/post-training Previously: Multimodal reasoning Before tech and quant, I was involved in: 1. Physics: IPhO 2015-16 as a gold medalist (29.5/30.0, 4th in Theory) and then a year-long coach and in-contest translator, marker, and medal negotiator for the team, 2. Stanford IEEE: President (2018-19) organizing 3 public conferences connecting industry and academia from Stanford's pictured EE Packard building, 3. Music: Alto saxophonist with a performance diploma (ATCL from Trinity College London) and certification to teach at 12 who won some open championships (with Cinq danses exotiques by Jean Françaix: similar to https://www.youtube.com/watch?v=fpKJE2FqIUM), and 4. Poetry: 5-time champion (2010-2014) in Cantonese prose and verse speaking.
Stanford University
Master of Science - MS, Computer Science
January 1, 2017 – January 1, 2020
Stanford University
Bachelor's degree, Mathematics and Physics (Honors)
January 1, 2016 – January 1, 2020
Reflection
Member of Technical Staff
January 1, 2026 – Present
San Francisco, CA
Waymo
Machine Learning Engineer
July 1, 2024 – October 1, 2025
Mountain View, CA
Point72
Quantitative Researcher
July 1, 2023 – July 1, 2024
New York, United States
Waymo
Software Engineering Intern
January 1, 2022 – January 1, 2022
Mountain View, CA
Citadel Securities
Quantitative Research Intern
January 1, 2022 – January 1, 2022
Chicago, IL
IBM
Quantum Research Intern
January 1, 2021 – January 1, 2021
Yorktown Heights, NY
Apple
Machine Learning Research Intern
January 1, 2021 – January 1, 2021
Cambridge, MA
Software Engineering Intern & Student Researcher
January 1, 2021 – January 1, 2022
Sunnyvale, CA
NVIDIA
Deep Learning Algorithm Engineering Intern
January 1, 2020 – January 1, 2020
Santa Clara, CA
Microsoft
Software Engineering Intern
June 1, 2018 – September 1, 2018
Redmond, WA
Associate of Trinity College London (ATCL) Recital in Saxophone (Performance Diploma)
Trinity College London
June 24, 2026 – Present
Year-long Coach, Contest Translator, and Score Advocator for Team Hong Kong for IPhO 2016
IPhO International Physics Olympiad
June 24, 2026 – Present
Gold Medalist
IPhO International Physics Olympiad
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards research and machine learning roles, with significant experience in large tech companies and quantitative finance. While this demonstrates a strong technical foundation, the direct alignment with a pure 'Backend Engineer' role, especially in a startup or a company with a different culture, is not explicitly clear from the provided data. The lack of project details makes it difficult to assess independent initiative or specific contributions outside of structured internship programs. The diverse experience across multiple prestigious organizations suggests an ability to integrate into various professional settings.
Soft Skills & Operational Fit
The candidate's resume highlights a strong drive for technical excellence and a history of working in high-performance environments. The diverse internship experiences suggest adaptability and a willingness to tackle varied technical problems. However, without psychometric test results or interview data, specific soft skills like teamwork, leadership, or stress handling cannot be objectively assessed.