Jonathan Shields

Email | Queens, NY | Github | LinkedIn | YouTube
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, Bash, Golang, SQL, Java, HTML/CSS, Node.js
Technologies: Vim, Linux, Git/Github, Docker, Postman
Relevant Experience
The Cigna Group
Oct 2025 - Current
Mainframe Operator
Emma Apprenticeship
Oct 2024 - Current
Software Developer
  • Rigorous developmental mainframe apprenticeship under the direct supervision of Doctor Cameron Seay
  • In-depth training in various in-demand mainframe skills such as COBOL, z/VM system programming, and HLASM assembly
  • Designed and debugged applications in COBOL and HLASM/Assembly
NPower Technical Training Program
Nov 2024 - May 2025
Trainee/Mentor
  • Worked extensively with Linux system administration tasks including user management, process monitoring, and service configuration
  • Managed network infrastructure components, troubleshooting connectivity issues and configuring routing protocols
  • Designed and implemented network topology architectures and enterprise-level automation workflows
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
  • Worked with a team to develop FAISS-IVF indexes using Llama Index by creating embeddings for efficient vector-based search
  • Project set for co-development with IBM with the goal of listing an enterprise grade application on IBM's marketplace
Runwei™ | 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 team, focusing on data collection for small business resources
  • Implemented advanced web scraping techniques using Python libraries including Beautiful Soup and Scrapy
  • Optimized scraper performance, 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 across the 11 CUNY senior colleges
  • Built technical projects using Python 3, Jupyter Notebooks, Pandas, Numpy, Scikit-learn, and SQL
  • Learned industry best practices for EDA, feature engineering, statistical modeling, and machine learning
Projects
Decentralized Node [Repository]
Aug 2024 - March 2025
  • 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
  • Performed peer-to-peer fine tuning of models via homomorphic encryption to preserve privacy of model weights
  • Deployed distributed nodes across heterogeneous servers using Docker containerization
Fraud Detection Model [Repository]
Oct 2023 - Dec 2023
  • Developed a Neural Network model for fraud detection using Python, achieving 95% accuracy on test datasets
  • Utilized TensorFlow and Scikit-learn to build, train, and optimize machine learning algorithms
  • Deployed a user-friendly web application using Streamlit
CSV Editor [Repository]
April 2023
  • Developed a Bash script for CSV file manipulation implementing full CRUD functionality
  • Engineered I/O stream integration to ensure seamless data exchange and interoperability
Supporting Experience
Undergraduate Computer Science Researcher [paper]
Jun 2020 - Jun 2024
  • Conducted research on optimizing recursive algorithms in graph and tree data structures
  • Presented 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
Associations
Scholar, National Science Foundation (NSF) S-STEM Program
Member, Black Male Initiative