Maryl Goldis-Weller

I am a Sr. Systems Engineer/Data Solutions Architect with deep expertise in federal compliance, requirements traceability, and audit-ready documentation. I’ve spent the last six years supporting USAF PEO BES, leading RTM/RTVM analysis and coordinating across Air Force, JITC, and Fortune 500 contractors. My workflow is meticulous and reproducible, especially in Python-based sentiment classification and ML evaluation. I’m now exploring new opportunities where I can bring rigorous systems thinking, technical fluency, and collaborative leadership to mission-driven teams. I’m eager to explore new challenges and would love the chance to discuss possible openings with your team.

Sr. Systems Engineer / Data Solutions Architect with years of Federal experience delivering mission-critical solutions across federal systems and data-driven architectures. From leading requirements traceability and DoDAF artifact maintenance to architecting reproducible sentiment classification pipelines, I bring a rare blend of systems rigor and machine learning fluency. I’ve supported USAF PEO BES since 2019, driving audit readiness, RTVM analysis, and cross-agency coordination with JITC, Air Force stakeholders, and Fortune 500 contractors. My technical toolkit includes Python, AWS, AI prompt engineering, with a focus on reproducibility, statistical evaluation, and embedded traceability. Known for meticulous workflows, collaborative leadership, and delivering compliant, scalable solutions that stand up to scrutiny.

• Postgraduate Program, Generative AI for Business AWS (2025) 
• Postgraduate Program, AI Business Machines, The University of Texas at Austin (2025)
• Postgraduate Program, Cloud Computing, The University of Texas at Austin (2023)
• Bachelor of Mathematical Science, Double Major Math and Computer Science, The University of Texas at Dallas