Frontend Engineer - VueJs, Python, Java, TypeScript, NodeJs
Resume:
Swainson
Holness
Senior Frontend Engineer AI
Practitioner Park City, UT
********.*******@*****.***
linkedin.com/in/swainson-holness
Accomplished software engineer with over five years of experience specializing in frontend and full-stack development. Proficient in Java, JavaScript, Vue.js, React.js, Python, and PHP. Demonstrated expertise in leading comprehensive website redesigns and aligning backend data with modern web principles. Currently transitioning into Artificial Intelligence engineering, focusing on reinforcement learning algorithms. Proficient in remote collaboration using tools such as Slack and Zoom, ensuring effective communication and project management. Skilled in Responsive Design, Cross-Browser Compatibility, Version Control (Git), and Agile Methodologies. Experienced in developing dynamic user interfaces using React.js and managing application state with Redux. Committed to code quality, implementing unit and integration tests using Jest and Cypress to ensure robust application performance. Experienced in the Google-Cloud and AWS infrastructure from development to deployment. Experienced in Wordpress. AREAS OF EXPERTISE
Artificial Intelligence & Machine Learning, Reinforcement Learning Algorithms, Full-Stack Development, Frontend & UI/UX Development, JavaScript Frameworks (React.js, Vue.js), RESTful APIs & Microservices, Python & Node.js Development, Web Application Design & Development, Complex Problem Solving, Data-Driven Decision Making, Software Development Lifecycle
(SDLC), Agile & Scrum Methodologies, Technical Documentation & Reporting github.com/swainson-fitz-michael
-holness
Project Capstone: Sarcasm Detection Using DAG-BERT Model In this project, I developed an advanced sarcasm detection system leveraging the Directed Acyclic Graph Bidirectional Encoder Representations from Transformers (DAG-BERT) model. The system is designed to accurately identify sarcastic expressions in textual data, a challenging task due to the nuanced nature of sarcasm. Key Contributions:
● Data Preprocessing: Curated and preprocessed a comprehensive dataset of textual inputs, ensuring the inclusion of diverse examples of both sarcastic and non-sarcastic language.
● Model Implementation: Implemented the DAG-BERT architecture, which effectively captures contextual dependencies in text through its directed acyclic graph structure, enhancing the model's ability to discern subtle linguistic cues indicative of sarcasm.
● Training and Optimization: Trained the model on the prepared dataset, employing techniques such as learning rate scheduling and gradient clipping to optimize performance and prevent overfitting.
● Evaluation: Assessed the model's performance using metrics like accuracy, precision, recall, and F1-score, achieving a notable improvement over baseline models in sarcasm detection tasks. WORK EXPERIENCE
Front-End Developer / Specialist 07/2022 - 12/2024 EdReports Remote - https://edreports.org
Led the comprehensive redesign of the EdReports website, facilitating the transition from v2 to v3, which enhanced user engagement and accessibility through modern, responsive design. Reduced page load times, extended component library and implemented advanced features.
Developed a component library aligned with brand guidelines, improving design consistency across applications and reducing development time by 10%. Optimized imports to accelerate page load times by 30%, enhancing user experience. Migrated frontend from jQuery to Vue.js, increasing application responsiveness and maintainability, and implemented a robust data state management system integrated with Java and JSP, reducing API calls by 50% improving data retrieval efficiency. EDUCATION
Master of Science in Computer Science
Grace Academy
08/2003 - 05/2006
Certificate in AI Research Engineering
ELVTR
07/2024 - 09/2004
Computer Science Fundamentals Achievement of exceptional performance Salt Lake Community College
01/2020 - 01/2021
Gold Cord (High Honors)
Front-End Developer / Team Lead 04/2021 - 06/2022
Fusion360 / Akomplice https://fusion360agency.com/ Draper, UT
Led the complete overhaul of the glymedplus.com website, modernizing their UX/UI interfaces. Engaged in core work to maintain websites and products for Fusion360. Developed a reusable component library using React.js, which remains integral to the product and website in 2024. This library enhanced flexibility and efficiency by enabling dynamic customization of user interfaces within the CMS, leading to over a 25% increase in product and website engagement.
Collaborated with cross-functional teams to align backend data with modern web principles. Software Developer / Contractor 01/2018 - 04/2021
Self-Employed Remote
Park City, UT
Developed and maintained the website for 11hauz.com, a family-owned business, ensuring a professional online presence and improving customer engagement.
Designed and implemented custom websites and applications, often handling end-to-end development, from requirements gathering to deployment.
REFERENCES
Available upon Request.
ADDITIONAL QUALIFICATIONS
● Reinforcement Learning: Skilled in developing and implementing reinforcement learning algorithms to enhance decision-making processes and optimize complex systems.
● Generative Adversarial Networks (GANs): Experienced in using GANs for data augmentation, synthetic data generation, and creative AI applications, leveraging adversarial training techniques.
● Feature Engineering: Proficient in feature extraction and engineering, transforming raw data into actionable inputs for machine learning models to improve accuracy and performance.
● YOLOv8 and Object Detection: Competent in applying YOLOv8 for high-speed, real-time object detection tasks, with a focus on optimizing image processing applications.
● Image Recognition: Skilled in image recognition techniques, utilizing CNNs and transfer learning to develop models that achieve high accuracy in image classification and detection tasks.
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