Bryson William
Oxford
Summary
A highly skilled and driven AI professional with a strong foundation in software engineering, complemented by a profound grasp of machine learning, artificial intelligence, and advanced programming paradigms. Poised to make a significant impact as an AI Tutor - Coding at Labelbox, drawing on extensive programming expertise and proven success in training, assessing, and optimizing AI models in a dynamic and fast-paced technological landscape.
An accomplished Software Developer with over three years of hands-on experience mastering Python, JavaScript, and SQL, consistently applying these technologies to design and implement cutting-edge AI solutions. Well-versed in machine learning frameworks and methodologies, with tangible experience in critically evaluating and fine-tuning AI models to enhance performance. An exceptional communicator, able to translate complex technical concepts into accessible insights for both technical and non-technical audiences.
Adept at working both independently and within collaborative, cross-functional teams, excelling in remote and hybrid work environments. As a recent graduate with a robust portfolio of software development projects, I am committed to driving the creation of high-quality, innovative solutions. My approach is grounded in forward-thinking, with a focus on integrating full-stack engineering expertise to enhance and develop future-oriented software systems. A highly adaptive and solution-focused leader, I have demonstrated success in managing complex, multi-dimensional projects, ensuring they meet stringent quality standards, timelines, and budget requirements. My leadership and project management experience further reinforce my ability to exceed client expectations and deliver transformative results.
Overview
4
4
years of professional experience
4
4
years of post-secondary education
3
3
Certifications
4
4
Languages
Work History
Freelance Developer
- Provided coding solutions for clients, focusing on Python, JavaScript, and AI integrations
- Developed AI models to automate client-specific tasks, improving efficiency by up to 50%
- Created detailed documentation and user guides to facilitate easy understanding and implementation of solutions
- Key Achievements: Successfully delivered over 20 freelance projects with a 100% client satisfaction rate
- Implemented an AI-driven recommendation system for an e-commerce client, boosting sales by 30%.
Software Developer
Google
7 2021 - Current
- Evaluated AI-generated code for accuracy and provided clear, human-readable summaries
- Developed and maintained web applications using Python, JavaScript, and SQL, ensuring robust and efficient solutions
- Collaborated with cross-functional teams to integrate AI solutions into existing products, enhancing functionality and user experience
- Mentored junior developers, providing guidance on best coding practices and AI integration techniques
- Key Achievements: Improved code evaluation accuracy by 20% through the development of a novel AI-based review system
- Led a project to integrate machine learning models into internal tools, reducing processing time by 35%.
AI Research Intern
OpenAI
06.2020 - 08.2020
- Conducted research on AI model evaluation, focusing on improving model accuracy and reliability
- Assisted in training AI models using supervised and unsupervised learning techniques
- Presented findings to the team and provided actionable recommendations for improving AI workflows
- Key Achievements: Published a paper on 'Optimizing AI Models for Code Evaluation' in a peer-reviewed journal
- Contributed to a project that enhanced the performance of a code completion AI model by 15%.
Education
Masters Bachelor of Science in Computer Science, Artificial Intelligence, Machine Learning, Data Structures, Algorithms, Advanced Programming in Python -
Stanford University
Stanford, CA 05.2017 - 05.2021
Skills
Python
Java
JavaScript/TypeScript
SQL
C/C/C#
HTML
Reactjs
Nodejs
Django
Pandas
NumPy
Scikit-Learn
Matlab
Kanban
Debugging
Programming
API Integration
Software Development
Product Development
Front-End Development
Project Management
Mobile App Development
Cross-platform Development
Certification
Machine Learning by Stanford University (Coursera), 06/2020
Customsection
Authorized to work in the USA, Available for remote or hybrid work in tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland.
Publications
- Optimizing AI Models for Code Evaluation, Journal of Machine Learning Research, 11/2020
- Integrating AI into E-commerce Platforms, AI in Retail Conference, 05/2021
References
Available upon request.
Projects
AI-Based Code Evaluation Tool, Developed a tool to evaluate and summarize AI-generated code, enhancing code quality checks. Integrated natural language processing to generate human-readable summaries of code evaluations., Python, TensorFlow, NLP, Decreased code review time by 40% for software teams., Tool adopted by multiple departments within the organization for code quality improvement. E-commerce Recommendation System, Built a recommendation engine using machine learning algorithms to personalize user shopping experiences., Python, Scikit-Learn, SQL, Increased customer engagement and sales conversion rates by 30%., Engine significantly reduced bounce rate by 25%., System successfully scaled to handle millions of user interactions daily.
Timeline
AI Research Intern
OpenAI
06.2020 - 08.2020
Masters Bachelor of Science in Computer Science, Artificial Intelligence, Machine Learning, Data Structures, Algorithms, Advanced Programming in Python -
Stanford University
05.2017 - 05.2021
Freelance Developer
Software Developer
Google
7 2021 - Current
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