N.W Stellamaris' Resume
Research Scientist - AI/ML
AI/ML and geospatial research scientist with a proven track record of delivering high-impact, data-driven solutions across energy, infrastructure, and international development sectors. Expert in building advanced deep learning, multi-sensor fusion, and NLP systems that optimize research, reduce operational time, and drive multi-million-dollar strategic outcomes. Proven in modeling complex systems, leading experimental AI/ML research on multi-million-dollar initiatives, manage large-scale databases, and delivering measurable results driving ROI.
Career Progression
AI/ML Research Scientist
Leidos-NETL • 2025 - Present
1. Developed advanced deep learning & 3D multi-sensor fusion models for large-scale resource characterization, creating a first-of-its-kind AI prediction system that informed $50M+ strategic exploration investments. 2. Built AI agents to parse 100K+ energy research docs daily, projected to reduce data retrieval time by 60% and improve research efficiency by $10M+ annually. 3. Led ML and statistical optimizations for $1M+ energy infrastructure projects, enhancing geospatial integration and strategic decision-making.
Data Specialist - Databases
Leidos • 2023 - 2025
1. Engineered elastic API and query pipelines for a 20M+ record wells database, reducing production time by 50% and compute resources by 30%. 2. Designed multi-sensor and image data schemas, databases, and ETL pipelines for four $1M+ projects, enabling unified cross-state resource assessment.
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 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 →Early Career
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.