Computer Science student with Mathematics minor, passionate about building scalable backend systems and machine learning applications. Experienced in Python, FastAPI, and modern cloud infrastructure with hands-on leadership experience.
Built a full-stack habit tracking app with a machine learning backend predicting user consistency from historical data. Designed API request validation and error handling to ensure reliable model-serving under malformed inputs. Developed REST APIs using FastAPI and SQLAlchemy; trained Random Forest models achieving 96% accuracy with cross-validation. Containerized with Docker and deployed on Render; React frontend visualizes progress through dynamic charts.
Collaborated with a 3-member team to design and deploy a real-time messaging system. Implemented WebSocket integration and async message broadcasting using FastAPI and Redis pub/sub. Added JWT authentication and containerized deployment for scalable, low-latency communication.
Fixed a core template parsing bug (PR #19944) after 1,500+ unit tests; improved error handling for invalid numeric literals.
Authored advanced ORM documentation (PR #36657) clarifying query optimization strategies and Manager usage.
Contributions merged into Django's main branch, improving reliability and developer experience for thousands of users.
Worked with real mortgage document blobs containing structured and unstructured data.
Built Python-based workflows for OCR-driven text extraction from scanned documents.
Implemented parsing and validation logic to normalize extracted document fields for backend processing pipelines.
Led a team of four to build a Python-based AutoML system automating model training and evaluation for insurance prediction.
Developed preprocessing and model comparison pipelines using pandas and scikit-learn; evaluated multiple ML algorithms.
Containerized workflows with Docker to improve reproducibility and cut environment setup time by ~40%.
Built Python-based NLP preprocessing and evaluation pipelines for AI-for-Good projects.
Improved text feature extraction and stemming logic, increasing evaluation metrics by ~12%.
Collaborated with a global team of 15+ contributors using Git-based workflows and agile sprints.
Minnesota State University, Mankato
Expected Graduation: December 2026
I'm always interested in new opportunities and exciting projects. Feel free to reach out!
I'm actively seeking backend engineering internships for Summer 2026