diff --git a/index.html b/index.html index 77ad3ae..cfbfa2d 100644 --- a/index.html +++ b/index.html @@ -1,17 +1,16 @@ - + - + Shaquille Pearson - Software Engineer @@ -22,26 +21,24 @@ - + - - + - - - + +
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About

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- Shaquille Pearson -
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Software

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[Research & Engineering]
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- My name is Shaquille, I'm a Master's student in Computer Science at the University of Waterloo. - I focus on solving complex software engineering challenges, - particularly in build systems, dependency management, - and emerging technologies like machine learning and blockchains. My goal is to continue - advancing my expertise while also making meaningful contributions to - the software engineering community, whether in academia or industry. -

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- - - Contact + +
+

About

+
+
+ +
+ + +
+ Shaquille Pearson +
+ + +
+

Software

+
[Research & Engineering]
+

+ My name is Shaquille, I'm a Master's student in Computer Science at the University of Waterloo. + I focus on solving complex software engineering challenges, particularly in build systems, dependency management, + and emerging technologies like machine learning and blockchains. My goal is to continue advancing my expertise + while also making meaningful contributions to the software engineering community, whether in academia or industry. +

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+ + + Contact + + + + Resume + + + +
+ + - - - Resume + + -
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Skills

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Experience

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Predicting Build Breakage With Machine Learning.

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This project is a literature survey focused on applying machine learning techniques to predict - build failures in Continuous Integration (CI) systems. It reviews a range of approaches, - including Random Forests, Logistic Regression, and Deep Learning, - The survey explores key factors influencing model performance, such as code complexity, commit frequency, - and noise in the data. It also examines statistical methods like ANOVA and Principal Component Analysis (PCA).

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Graduate Research Assistant @ (UoW)

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  • Data Pipeline - Designed and built a data filtration pipeline that processed over 1.27 million open-source + projects. +
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  • Build Reproduction - Led efforts to create reproducible build environments for 982 builds in the NPM + ecosystem using Docker, Python, and GitHub Actions and YML files. +
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  • Algorithm Optimization - Identified and categorized 156 new ghost commit patterns within the Debian + ecosystem. Designed mitigation strategies to improve the SSZ algorithm accuracy by 14% +
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January 2023 - Present

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Exploring the Prevalence of Social Biases In State Of The Art large language Models

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This project investigates the prevalence of social biases in large language models like GPT-2, - DistilGPT-2, Bloom-560M, and Facebook-OPT-350M, hosted on Hugging Face. - By analyzing the behavior of these models with prompts designed to evoke toxic or - biased responses, we utilized tools like the Perspective API to assess generated content across - attributes such as toxicity, identity attack, and profanity.

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Instructional Apprentice/Teaching Assistant @ (UoW)

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  • Technical Assistance - Assisted 30+ students with coding assignments, debugging code, and troubleshooting technical issues. +
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  • Teamwork & Leadership - Communicated closely with course instructors and fellow instructional apprentices to + lead tutorials, proctor exams, and coordinate grading. +
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  • Communication & Collaboration - + Communicated effectively with students and instructors via email, forums + , and in-person meetings to address inquiries. +
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January 2023 - Present

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Junior ICT Officer @ (DPI)

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  • Script Automation - + Developed and implemented automation scripts using Python and JavaScript, reducing + manual website testing and content updates by 23% with WordPress and Lighthouse +
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  • Networking Troublshooting - + Diagnosed and resolved 50+ connectivity issues using Wireshark, which reduced + local network downtime by 8% and improved overall network reliability.
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  • End-User Support - Provided technical support to 100+ staff members for software and hardware issues on + first contact. Utilized help desk ticketing systems and remote assistance tools to deliver timely solutions +
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August 2022 - January 2023

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Course Projects

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Exploring Dependency Related Build Breakages In The NPM Ecosystem

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This project analyzes dependency-related build failures within the NPM ecosystem by + examining JavaScript projects. I utilized Git to track modifications in package.json + files and employed Docker to create isolated, reproducible build environments. + CI/CD pipelines, specifically GitHub Actions, were parsed to identify breaking changes, + while tools like nektos/act and docker-compose were used to simulate the build process locally. +

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Code Review Practises On Ethereum Smart Contracts

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This project assesses the effectiveness of code review for Ethereum smart contracts + across major projects like Uniswap and Aave. Using Git + for version control and Slither for static analysis, vulnerabilities + such as reentrancy, unchecked transfers, and zero-address issues were identified. + +

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Predicting Build Breakage With Machine Learning.

+

This project is a literature survey focused on applying machine learning techniques to predict + build failures in Continuous Integration (CI) systems. It reviews a range of approaches, + including Random Forests, Logistic Regression, and Deep Learning, + The survey explores key factors influencing model performance, such as code complexity, commit frequency, + and noise in the data. It also examines statistical methods like ANOVA and Principal Component Analysis (PCA).

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Exploring the Prevalence of Social Biases In State Of The Art large language Models

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This project investigates the prevalence of social biases in large language models like GPT-2, + DistilGPT-2, Bloom-560M, and Facebook-OPT-350M, hosted on Hugging Face. + By analyzing the behavior of these models with prompts designed to evoke toxic or + biased responses, we utilized tools like the Perspective API to assess generated content across + attributes such as toxicity, identity attack, and profanity.

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Personal Projects

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