Jonathan Shields

(929)-443-3357 | Contact | Queens, NY | Github | LinkedIn
Education
York College, City University of New York (CUNY), Queens, NY
Bachelor of Science in Computer Science
Aug 2020 - May 2024
Skills
Programming Languages: Python, C++, Rust, SQL, HTML, CSS, Bash, JavaScript
Technologies: Vim, Linux, Git/Github, Docker, Postman
Projects
Decentralized Node
Aug 2024 - Nov 2024
  • Developed a decentralized node system hosting lightweight Feed-Forward Neural Networks for sentiment analysis
  • Implemented multiple APIs and communication protocols (TCP/HTTP) to enable seamless node interaction
  • Perform peer to peer fine tuning of models via homomophic encryption to preserve privacy of model weights while fine tuning models on data hosted on other servers
  • Deployed distributed nodes across heterogeneous servers using Docker containerization
Fraud Detection Model [Repository]
Oct 2023 - Dec 2023
  • Developed and implemented a Neural Network model for fraud detection using Python, achieving 95% accuracy on test datasets
  • Utilized TensorFlow and Scikit-learn libraries to build, train, and optimize machine learning algorithms for transaction analysis
  • Created data visualizations with Seaborn, effectively communicating insights to stakeholders
  • Deployed a user-friendly web application using Streamlit, increasing project visibility and user engagement
CSV Editor [Repository]
April 2023
  • Developed a robust Bash script for efficient CSV file manipulation, implementing full CRUD functionality
  • Engineered I/O stream integration to ensure seamless data exchange and interoperability
  • Implemented error handling and input validation to enhance script reliability
  • Utilized advanced Bash scripting techniques including file operations, loop structures, and command substitution
Relevant Experience
Modelex
Aug 2024 - Jan 2025
Software Developer
  • Created a dashboard for monitoring blockchain nodes, improving network visibility and management
  • Developed a program for secure signing and deployment of smart contracts on Ethereum
  • Implementing CI/CD pipelines to streamline development and release processes
Lendvest
Mar 2024 - Aug 2024
Software Developer
  • Member of a four-person team for the NYC Node project, a government-sponsored initiative facilitating open access to blockchain data
  • Contributing to development of new methodologies of performing financial analysis within cryptocurrency markets
  • Worked with a team to develop FAISS-IVF indexes using Llama Index by creating embeddings for efficient vector-based search
  • Project is set for co-development with IBM with the goal of listing an enterprise grade application on IBM's marketplace
Runweiâ„¢ | AI & ML for Financial Inclusion and Economic Mobility
Jan 2024 - April 2024
Software Developer
  • Engineered a robust web scraper as part of a four-person development team, focusing on data collection for small business resources
  • Implemented advanced web scraping techniques using Python libraries including Beautiful Soup and Scrapy
  • Contributed to the creation of a recommendation system for small businesses, enhancing financial inclusion and economic mobility
  • Optimized scraper performance and data processing efficiency, resulting in a 30% reduction in data collection time
CUNY Tech Prep
Jul 2023 - Aug 2024
Data Science Fellow
  • Selected for a competitive data science fellowship with students from the 11 CUNY senior colleges where Fellows create technical projects using tools such as Python 3, Jupyter Notebooks, Pandas, Numpy, Scikit-learn, and SQL
  • Participate in weekly courses and learn industry best practices for exploratory data analysis (EDA), feature engineering, data collection and processing, statistical modeling, data visualization, machine learning techniques, data science process, and big data
Supporting Experience
Undergraduate Computer Science Researcher [paper]
Jun 2020 - Jun 2024
  • Conducted extensive research on optimizing recursive algorithms in graph and tree data structures
  • Presented research findings at the American Association for the Advancement of Science (AAAS) conference
  • Collaborated with faculty advisor Dr. Thitima Srivatanakul on research methodology and paper writing
  • Gained hands-on experience with data structures, algorithmic analysis, and scientific writing
Associations
Scholar, National Science Foundation (NSF) in Science, Technology, Engineering, and Mathematics Program (S-STEM)
Member, Black Male Initiative