Gabriel/Zhang Li
Frontend DeveloperAI 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
Machine Learning at Meta AI, Ex-Google
We're hiring Applied Machine Learning Scientist. Reach me out if you are interested. I am fascinated by mathematics, biology, and philosophy. Machine learning is the best field fitting all my interests. I am keen on working with smart people, and building cool products. Started algorithm trading since I was in college, especially interested in strategies based on behavioral finance. Awards: Medal of Beijing Mathematical Olympiad, China. Top 10 Performers, Graduates of excellence, UNSW, Australia. National ITS Research Reward, Australia.
Stanford University
Graduate Certificate (WIP), Artificial Intelligence
N/A – Present
UNSW
Master of Computer Science, Machine Learning
N/A – Present
Meta
Staff Research Scientist, Meta AI
October 1, 2023 – Present
New York, United States
Tech Lead, Machine Learning
July 1, 2022 – October 1, 2023
New York, United States
UpHonest Capital
Venture Scout Manager
May 1, 2021 – Present
New York, United States
Self-employed
Algorithmic Trader
February 1, 2021 – Present
New York, United States
Tech Lead, Machine Learning
January 1, 2020 – June 1, 2022
New York, United States
Amazon
Tech Lead/Applied Scientist
January 1, 2018 – December 1, 2019
Greater Seattle Area
Amazon
Applied Scientist
January 1, 2016 – December 1, 2017
Greater Seattle Area
NICTA
Machine Learning Scientist
June 1, 2014 – November 1, 2015
Greater Sydney Area
Passed Charted Financial Analyst Level I Exam
CFA Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily focused on Machine Learning, AI, and backend systems, with significant experience in research and large-scale data processing. The target role is 'Frontend Developer'. This represents a significant mismatch in core competencies and career trajectory. While the candidate has a diverse background including venture scouting and algorithmic trading, these do not directly align with frontend development. The breadth of skills is high, but the relevance to the target role is low, indicating a poor cultural fit for a dedicated frontend position.
Soft Skills & Operational Fit
The candidate's extensive experience as a Tech Lead and Research Scientist at top-tier companies like Google and Meta suggests strong problem-solving, leadership, and collaboration skills. The descriptions of leading end-to-end solutions and co-designing ads serving stacks imply operational effectiveness and the ability to deliver at scale. However, specific soft skill assessments are not available.