I'm Zac, a machine learning researcher and engineer passionate about pushing the boundaries of AI while ensuring it delivers real-world value. My work spans from implementing transformer architectures to developing novel approaches for historical document verification. I combine rigorous technical methodology with creative problem-solving, bringing both theoretical understanding and practical engineering skills to every project. Beyond the screen, you'll often find me immersed in a game of chess or diving into the latest tech innovations. As a techno-optimist, I'm deeply driven by the potential of technology to catalyze positive change and meaningful impact. If you'd like to speak with me about work or collaboration feel free to reach out at Email address protected by JavaScript. Let's create something impactful together!
EDUCATION
School
Currently enrolled in University of London's Bachelors of Science in Computer Science (Machine Learning and Artificial Intelligence) program with a 90% grade average. Expected date of graduation - March 2025.
Research: Transformer-Based Authorship Verification
- Implemented Siamese Sentence-BERT architecture achieving competitive performance (AUC: 0.900, F1: 0.785) on VALLA benchmark dataset against PAN 2020 shared task participants
- Developed novel LILA dataset with robust genre/topic bias controls, achieving near-perfect metrics (AUC/F1/C@1 > 0.99) across multiple distorted views
- Integrated text distortion techniques with transformer architectures to enhance model robustness against topic/genre overfitting
SKILLS
Hard
- PyTorch & HuggingFace
- Transformer Architectures
- Python Scientific Stack
- Typescript/Javascript
- Erlang/OTP
- SQL & Data Processing
- Git/Version Control
- NLP & Text Processing
- AWS-EC2 & S3
- Angular
- REST APIs
- Node/Express
Soft
- Research & Analysis
- Technical Writing
- Problem Solving
- Project Management
- Teamwork
- Leadership
- Effective Communication
- Adaptability
- Dependability
- Focus
EXPERIENCE
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Independent ML Research
University of London
Remote2023-present- Advanced authorship verification through integration of transformer architectures with comprehensive evaluation pipeline (AUC, c@1, F1, F0.5u metrics)
- Implemented novel text distortion techniques for enhanced model generalization
- Previous iteration explored feature engineering approaches with feed-forward networks, Spatium-L1 algorithm variations, and FAR/FRR metrics
- Developed and deployed data processing/ML pipeline to AWS-EC2 handling 10M+ words across multiple views
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Software Engineer and Director of Technology
Kid Chess, Inc.
Marietta, Georgia2015-present- Created and deployed AI-driven feedback system using OpenAI's GPT-4 API, enhancing personalized learning for 3000+ students
- Led development of online learning platform serving 3000+ students (Angular, Azure Cloud)
- Automated business processes using Python data processing pipelines
- Managed technical team response to pandemic, achieving 90% student retention through platform transition
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Dining Manager
The Chef's Apron Neighborhood Trattoria
Asheville, North Carolina 2014-2015- Inventory, food safety, customer relations, mixology, sales. Started as a server and was quickly promoted to bar tender and then to dining manager.
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Branch Supervisor
Aramark Dining Services - Which Wich Branch SupervisorWestern Carolina University, Cullowhee, North Carolina 2012-2014- Managed the busiest Which Wich franchise branch nationwide, under Aramark's supervision, at Western Carolina University, achieving record service volumes.
- Led a high-performing team in a fast-paced environment, serving thousands of customers daily.
- Recognized for exceptional leadership and performance with three promotions, two Employee of the Month awards, and a Safety Champion acknowledgment.
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Cadet
United States Army and National Guard
Greenville & Fort Jackson, Columbia, South Carolina2009-2011- ROTC Cadet, Furman University: Paladin Battalion, 2009-2011.
- SMP Cadet, South Carolina National Guard, 2010-2011.
Certifications
- Data Science by IBM on Coursera. Certification earned on March 3, 2023
- AI Engineering by IBM on Coursera. Certification earned on March 31, 2022
- Applied AI by IBM on Coursera. Certification earned on September 17, 2021
- IT Support by Google on Coursera. Certification earned on March 20, 2020
- Deep Learning by deeplearning.ai on Coursera. Certification earned on February 19, 2018
- Machine Learning by Stanford University on Coursera. Certification earned on November 27, 2018
- Data Structures and Algorithms by University of California San Diego & National Research University Higher School of Economics on Coursera. Certification earned on October 4, 2018
- Responsive Website Development and Design by University of London & Goldsmiths, University of London on Coursera. Certification earned on September 26, 2017
- Mathematics for Machine Learning: Multivariate Calculus by Imperial College London on Coursera. Certification earned on April 3, 2019
- Mathematics for Machine Learning: Linear Algebra by Imperial College London on Coursera. Certification earned on January 29, 2019
- Mathematical Thinking in Computer Science by University of California San Diego & National Research University Higher School of Economics on Coursera. Certification earned on August 8, 2018
- Teaching English to Speakers of Other Languages by Arizona State University on Coursera. Certification earned on December 15, 2017