Work Experience
My professional journey has been shaped by a commitment to innovation, security, and real-world impact. From building secure DevSecOps pipelines to leading enterprise data architecture projects, my roles have consistently blended deep technical knowledge with strategic thinking.
Currently, I serve as a Sr. Data Engineer and Recognized Technical Talent at Lockheed Martin, where I develop AI-powered solutions, standardize data systems, and contribute to national initiatives like the NIST Score Tool. My previous roles in cyber intelligence and software development have strengthened my foundation in secure system design, reverse engineering, and scalable platform deployment.
Each experience has deepened my ability to lead complex technical projects, collaborate across disciplines, and drive meaningful change, whether in defense, research, or product innovation.
Brief
With a background spanning cybersecurity, data engineering, and AI-driven solutions, I’ve led complex, high-impact projects across industry, research, and enterprise environments. Delivering secure, scalable systems that drive innovation and real-world results.
Skills
✱ Programming Languages: Python, C++, C#, Java, SQL, Bash
✱ AI & Machine Learning: Data Modeling, NLP, Image Recognition, ML Pipelines
✱ Cybersecurity: DevSecOps, Reverse Engineering, Penetration Testing, Secure CI/CD
✱ Data Engineering: ETL Pipelines, Canonical Modeling, Data Standardization (OAGIS, QIF, S-Series)
✱ Cloud & Infrastructure: OpenShift, Docker, Kubernetes, Red Hat, AWS (familiar)
✱ Tools & Platforms: IBM Cloud Pak for Data, Collibra, Tibco, Git, JIRA, Tableau
✱ Research & Innovation: Quantum Computing, AI for Infrastructure Security, Traffic System Vulnerability
✱ Leadership & Collaboration: Recognized Technical Talent, SME in Data Engineering, Cross-functional Project Lead
Roles
✱ Sr. Data Engineer – Lockheed Martin
✱ Cyber Intelligence Analyst Associate – Lockheed Martin
✱ Software Engineering Intern – Lockheed Martin
✱ Web Security Technical Program Manager Intern – Facebook (via CodePath)
✱ Back End Software Development Intern – TwinThread LLC
✱ Quantum Computing Researcher – Virginia Tech Hume Center
✱ Security System Vulnerability Researcher – Virginia Tech Hume Center
✱ Embedded Systems Project Lead – Virginia Tech ECE Department
“Engineering is the art of directing the great sources of power in nature for the use and convenience of man.”
— Thomas Tredgold
Sr. Data Engineer | Cyber Intelligence Analyst | Software Engineering Intern At Lockheed Martin, I’ve led enterprise data engineering initiatives, contributed to national standards like the NIST Score Tool, and architected AI-powered solutions for secure, scalable systems. As a Recognized Technical Talent and SME in Data Engineering, my work has spanned DevSecOps, OpenShift CI/CD pipelines, and cross-functional integration using OAGIS and IBM Cloud Pak for Data.
Web Security Technical Program Manager Intern Selected for a competitive cybersecurity program in partnership with CodePath and Facebook, I received advanced training in web security, ethical hacking, and secure systems design. I also coordinated university-level technical programs, helping build talent pipelines in cybersecurity.
Back End Software Development Intern At TwinThread, I developed backend infrastructure for industrial IoT systems, including SQL database design, JavaScript visualizations, and machine learning integrations that powered real-time sensor-driven insights.
Undergraduate Researcher – Quantum Computing & Security Systems Conducted research on quantum optimization algorithms using D-Wave architecture and performed system vulnerability assessments on smart infrastructure. My work involved mathematical modeling, algorithm development, and live penetration testing of traffic control systems.