Catewalker

Harvard University CS & Mathematics student (GPA 3.96/4.0) with deep expertise in software architecture, cybersecurity, and applied machine learning. Proven track record in high-performance C# systems, reverse engineering, and fraud analytics. Combines mathematical rigor with pragmatic engineering to deliver secure, scalable solutions. Kaggle top 3% performer and active security researcher.

Senior SAS Developer at nvGate Service Management (2024-01 – Present)

• Architect and maintain high-throughput backend services using C# / .NET 8, handling 50k+ API requests per minute with sub-100ms latency.
• Implemented security-focused middleware (JWT, SHA256 request signing) and anomaly detection pipelines for real-time threat analysis.
• Designed data processing pipelines with C# and MongoDB, reducing ETL execution time by 37%.
• Collaborated with security teams to reverse-engineer malicious payloads and strengthen API defense mechanisms.

Machine Learning Engineer Intern at Greenway Farms (2024-06 – 2024-08)

• Developed end-to-end computer vision pipeline using OpenCV and PyTorch to detect crop diseases from drone imagery, achieving 94% accuracy.
• Engineered time-series models for yield prediction based on weather and soil moisture data, increasing forecast precision by 22%.
• Built interactive dashboards using Python Dash and deployed models via Docker containers on AWS EC2.

Data Science Analyst at Miller's Family Farm (2023-01 – 2023-08)

• Analyzed 10+ years of soil composition and microclimate data using Python to optimize water usage.
• Delivered predictive irrigation scheduling model that reduced water consumption by 18% while maintaining crop yield.
• Presented actionable insights to farm management and translated ML outputs into operational changes.

Bachelor of Arts in Mathematics & Computer Science – Harvard University (2022-01 – 2026-01)