Tarek Aloui
Software Engineer at InQuery
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolTarek Aloui is a software engineer and Harvard CS student with nine years of hands-on experience building mobile and full-stack web applications and conducting deep learning research. He has shipped Android and React/React Native features at companies from startups to corporate internships, and extended ML evaluation tooling while working with Stochastic’s LLM stack. His research contributions include co-authored IEEE work on DNN resiliency and tooling enhancements for mixed-precision inference, reflecting a blend of systems-level rigor and applied ML. Comfortable across Kotlin, Rust, React, and cloud compute, Tarek pairs product-focused engineering with academic depth and a knack for translating research prototypes into production-ready components. Based in New York, he maintains a public-facing blog and is actively exploring roles in software development, data analytics, and quantitative finance.
10 years of coding experience
4 years of employment as a software developer
LaunchX @ MIT, Entrepreneurship/ Entrepreneurial Studies Summer Program, LaunchX @ MIT, Entrepreneurship/ Entrepreneurial Studies Summer Program at LaunchX Entrepreneurship ProgramInternational Baccalaureate diploma, International Baccalaureate diploma at Pearson College UWCPioneer High School Of GabesSummer Program, Applied Science and Engineering, Summer Program, Applied Science and Engineering at Yale Young Global ScholarsYale Young African Scholars Program, Yale Young African Scholars Program at Yale UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Harvard UniversityMathematics and Computer Science, Mathematics and Computer Science at Wolfram Summer Research Institute
Arabic, English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (39)
number-format10
adapter10
language-model9
quantization9
lora8
data-preprocessing8
floating-point8
discord8
pytorch7
vscode7
llm7
fine-tuning7
deep-learning7
reliability7
python7
Programming languages (2)
Github contributions (5)
ma3mool/goldeneye
Jun 2022 - Aug 2022
GoldenEye is a functional simulator with fault injection capabilities for common and emerging numerical formats, implemented for the PyTorch deep learning framework.
Contributions:1 review, 57 commits, 5 PRs in 2 months
deep-learningfault-injectionpytorchaccuracyfloating-point
TarekAloui/LoanOriginator
Jan 2024 - Jan 2024
Contributions:46 pushes, 2 branches in 7 days
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