August 2021-2023 : *Cybersecurity Research Team Lead*, Upland IN :
- Performed cybersecurity networking research and analvsis for Taylor University on behalf of Lockheed Martin Advanced Technology Labs :

- **Adversarial Security Research**: Conducted cybersecurity research using adversarial and defensive methodologies to evaluate system behaviors, security assumptions, and resilience within controlled environments. :

- **Traffic Interception and Analysis Tooling**: Applied industry-standard tooling (Wireshark, mitmproxy, Apache, OpenSSL, Frida) to observe, instrument, and analyze network communications as part of security validation and research workflows. :

- **Secure Protocol and Trust Model Evaluation**: Studied and tested secure communication concepts—including TLS workflows, certificate trust chains, and encryption boundaries—to understand potential failure modes and defensive next steps. :

- **Research Leadership and Technical Oversight**: Led a student research team, guiding technical exploration, ensuring documentation, validating approaches, and ensuring work remained compliant with nondisclosure and ethical research constraints. :

- **Documentation and Stakeholder Reporting**: Produced high-level technical documentation and delivered briefings that translated adversarial research insights into defensible, non-sensitive findings for industry stakeholders.

Jan 2023 : *Data Scientist* for Taylor University on behalf of Kratos Defense, Upland IN :

- Project objective: Determine a machine learning model that minimized false positives and verified the company's current method for identifying potential paths for intersecting courses for client satellites based on the data provided. :

- **Collaborative Model Architecture Development**: Worked closely with senior leadership to validate problem framing, iterate on model architecture decisions, and ensure alignment between client requirements and machine learning implementation strategies. :

- **Model Analysis and Profiling**: Implemented and evaluated multiple machine learning approaches—including K-Means clustering, Isolation Forests, and Convolutional Neural Networks—to characterize data distributions and identify anomalous behavioral patterns. :

- Data Normalization and Preprocessing: Designed and executed data cleansing, transformation, and normalization workflows to convert raw client datasets into model-ready inputs consumable by multiple machine learning architectures.

Fall 2021 : *Full Stack Developer* for PocketDorm, Upland IN :
- Designed and implemented full-stack RESTful API, database connections in : postgreSQL, and dynamic functionality with Vue.js :
- Presented functioning web app to peers showcasing the range of work completed :
- Web application was functional within 2 months :
- Learned new technologies on the fly and adapted to rising bugs and issues in the codebase Summer 2020 : *Front-End Developer* for Canary, Waltham and Williamstown MA :
- Translate client mockups into functional web pages using: HTML/CSS and JavaScript :
- Clearly and effectively communicated with clients and team members :
- Exposure to development with unfamiliar technologies, such as Flutter and Yarn