Aaquib Syed
Machine Learning Researcher at Apple
College Park, Maryland, United States
Summary
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Rockstar🎓
Top SchoolAaquib Syed is a versatile CS and Math student researcher focused on AI interpretability and scalable methods to attribute and remove harmful behaviors in large language models, with seven years of practical experience across research and engineering roles. He has interned and contracted at top AI labs and platforms—Google DeepMind (incoming), Anthropic, and Google Ads ML—building evaluations, LLM capability forecasts, and automated optimization pipelines. Aaquib pairs this research depth with production-scale engineering from Databricks’ Files team and a neural recommendation system at Capital One, demonstrating comfort with distributed systems that handle billion-scale operations. He’s also experienced in quantitative trading and mechanistic interpretability through programs at Stanford’s ERI, ARENA, and Jane Street, bringing probabilistic rigor to ML problems. Notably, he treats experimentation like software engineering—tinkering in separate Git branches while publishing papers—reflecting a practical, reproducible approach to high-risk research.
7 years of coding experience
2 years of employment as a software developer
Regents Diploma with Advanced Designation, Regents Diploma with Advanced Designation at Smithtown High School-WestBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Maryland
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (23)
chatgpt-api10
openai-api10
discord10
prompt-toolkit10
prompt-tuning10
prompting10
chatgpt9
transformers9
git9
github9
llm9
large-language-models9
machine-learning9
language-model9
natural-language-processing9
Programming languages (7)
Github contributions (5)
Aaquib111/personal-distance-monitor
Jul 2020 - Aug 2022
Contributions:23 commits, 15 pushes, 1 branch in 2 years
Aaquib111/FRC-Scouting
Jun 2019 - Jun 2020
Contributions:12 commits, 15 pushes, 4 branches in 1 year
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