Resume

Contributing to the design and implementation of a full-stack analytics platform that helps growers and stakeholders quantify the return on investment (ROI) of agronomic decisions using John Deere machine and operations data. On the backend, implemented Python services and ETL pipelines to ingest data from John Deere APIs, normalize it into analytics-ready tables, and compute ROI and utilization metrics. On the frontend, collaborated on a Next.js/TypeScript application that exposes interactive dashboards and reporting workflows for end users. Added automated tests and GitHub Actions CI to improve reliability and make the platform easier to maintain within the UND–John Deere collaboration. 

Converting and hardening a suite of MATLAB-based actin and focal adhesion (FA) image-analysis pipelines into a production-ready Python implementation for high-resolution confocal immunofluorescence datasets. This work covers Actin, Protrusions, Colocalization, and Colocalization_update workflows, with a focus on preserving scientific fidelity, output compatibility, and naming conventions used by the lab. I am validating the Python outputs against known MATLAB results, standardizing thresholds and parameters, and ensuring the pipelines generate equivalent tables and visual artifacts. The effort supports reproducible quantification of key biological readouts, including cell morphology metrics, percent fibrousness (inner/outer), actin FFT aspect ratio, alignment angles, and protrusion height/width/AR profiles.

Supported student learning in core data communications concepts including the OSI and TCP/IP models, network layering, addressing, routing fundamentals, error detection, and performance considerations. Assisted students with labs and assignments related to protocol behavior, packet-based communication, and practical networking analysis. Provided structured guidance during office hours, helped troubleshoot technical issues in hands-on exercises, and reinforced clear, systems-level understanding of how data reliably moves across networks. Helped students bridge theory and real-world network behavior through focused explanations and step-by-step problem-solving support.

Designed and supported hands-on learning for core systems programming concepts, including C programming fundamentals, memory management, process control, file I/O, and debugging practices. Assisted students through lab sessions, office hours, and assignment support, providing clear technical explanations and structured problem-solving guidance. Helped review and troubleshoot student code, reinforced best practices in safe and efficient systems-level programming, and contributed to a collaborative learning environment that improved student confidence and performance.

Designed and supported hands-on learning for core systems programming concepts, including C programming fundamentals, memory management, process control, file I/O, and debugging practices. Assisted students through lab sessions, office hours, and assignment support, providing clear technical explanations and structured problem-solving guidance. Helped review and troubleshoot student code, reinforced best practices in safe and efficient systems-level programming, and contributed to a collaborative learning environment that improved student confidence and performance.

Supported instruction and student learning across core computer and network security topics, including authentication and access control, secure network protocols, common attack vectors, and defensive best practices. Assisted students with labs and assignments involving vulnerability analysis, threat identification, and practical security tools. Provided structured guidance during office hours, helped troubleshoot technical issues in hands-on exercises, and reinforced secure-by-design thinking through clear explanations and code-level feedback. Contributed to a supportive learning environment that helped students connect theoretical concepts to real-world security scenarios.

Designed and supported hands-on learning for core systems programming concepts, including C programming fundamentals, memory management, process control, file I/O, and debugging practices. Assisted students through lab sessions, office hours, and assignment support, providing clear technical explanations and structured problem-solving guidance. Helped review and troubleshoot student code, reinforced best practices in safe and efficient systems-level programming, and contributed to a collaborative learning environment that improved student confidence and performance.