N.W Stellamaris' Resume
Research Scientist
Specializing in AI/ML, computing, and large-scale data systems — currently advancing national energy and resource programs. Proven in modeling complex systems, leading experimental research on multi-million-dollar initiatives, and delivering measurable innovation ROI.
Career Progression
Research Scientist: AI/ML in Energy Research
Leidos-NETL • 2025 - Present
1. Designing and developing advanced deep learning and multi-sensor fusion models for energy research, building prediction systems accelerating discovery cycles and informing $50M+ in exploration investments. 2. Architecting AI/NLP agentic systems parsing large volumes of energy research material daily, boosting $10M+ in annual research efficiency. 3. Leading simulation models optimizing energy systems for national monitoring initiatives.
Research Scientist: Databases & Engineering
Leidos • 2023 - 2025
1. Engineered scalable data pipelines for 20M+ well records, cutting processing time by 50% and compute costs by 30%. 2. Designed data schemas and ETLs for energy integration projects, standardizing state-level resource assessments.
Program Director: EverywhereSheMaps
YouthMappers • 2022 - 2023
1. Spearheaded national AI-ready geospatial training programs, scaling to 100+ university chapters and increasing female participation & open-data contributions. 2. Delivered deep learning training to students, producing map data benefiting 68M+ people globally. 3. Represented in global forums and expanded open-data partnerships across universities around the globe.
Geospatial Scientist
Early Career • 2017 - 2022
1. Led design of geospatial & legal schema models integrating 80%+ of Uganda’s land registry data into a unified NLIS, driving a system that collected US$114M+ in land service revenue and reduced transactional corruption. 2. Served as technical lead on five national expert committees and two policy dialogues, aligning database models with national land legislation. 3. Managed multi-institutional research projects, including energy access mapping in Kampala and COVID-19 response mapping in Uganda.
Education
MSc. Computer Information Science - Scientific Computing
Harrisburg University, PA • 2025
M.A. Geography & Geospatial Science
West Virginia University, WV • 2022
B.S. Geomatics & Land Management
Makerere University, Kampala • 2018
Selected Publications
PDF to Image Conversion for Enhanced NLP Processing
Medium Publication • April 2024
A comprehensive guide on preprocessing PDF documents for NLP tasks using Python and pdf2image library.
Read on Medium →Deep Learning for Predictive Analytics in Crop Classification
Journal of Data Science • 2024
Research on applying machine learning and computer visions to predict crop class outcomes and improve smallholder farm ML/AI approaches.
View Publication →Natural Language Processing for Oil & Gas Wells Research
2024 FECM / NETL Carbon Management Research • 2024
A system design and topic modeling for wellbore data using advanced NLP, ML/AI approaches.
View Presentation →Digital Mapping for Sustainable Development
Tech Conference Proceedings • 2021
A study of how university-led mapping initiatives support the SDGs through open geospatial data creation, community engagement, and hybrid digital-humanitarian workflows.
View Publication →Stella's Impact
Everywhere She Maps: Empowering Youth for Global Challenges
A YouthMappers program empowering women and underrepresented communities to create and leverage geospatial data for solving real-world challenges, with significant contributions to Sustainable Development Goals.
Mapping Uganda's Border Towns During COVID-19
Led mapping efforts through MapUganda to support COVID-19 response by mapping border entry points and critical infrastructure, providing essential data for pandemic management and resource allocation.
Spotlight Kampala: Mapping Energy Access
A multi-institutional research collaboration addressing energy inequities in Kampala's informal settlements, using mapping to document energy infrastructure and access patterns.
Nourishing FAS Satellite Data with Grassroots Truth
Contributing to agricultural development by bridging the gap between satellite data and on-the-ground realities, empowering young leaders in agriculture with data-driven insights.