Allyson K. Nace
Phoenixville,PA
Summary
Highly accomplished AI/ML engineer with over six years of experience in development, testing, and production deployment of high-performance computer vision and deep learning models at scale. Deep expertise in advanced architectures (e.g., Transformer networks), low-shot learning, and large-scale data wrangling for remote sensing (SAR and EO imagery). Proven ability to drive innovation, manage the entire model lifecycle, and ensure reliable deployment using Docker, Kubernetes, and AWS/C2S environments. Seeking to leverage this expertise to advance geospatial analytics for Planet.
Overview
6
6
years of professional experience
Work History
AI/ML Engineer Sr
Lockheed Martin
Valley Forge, USA
05.2023 - Current
- Served as Lead Developer for several high-performance low-shot models (e.g., Transformer networks like DINO/DETR/SWIN) focused on object detection and ATR.
- Served as Scrum Master for a team executing the end-to-end development, testing, and production deployment of over 15 computer vision models optimized for remote sensing data, ensuring seamless integration into large-scale cloud pipelines (AWS/C2S).
- Applied advanced low-shot learning techniques (synthetic data curation, curriculum learning, backbone training, hyperparameter tuning) to iteratively improve model performance and accuracy on vast, challenging SAR Imagery datasets.
- Managed high-stakes technical proposals, successfully securing multi-million dollar contracts and follow-on funding by presenting complex AI/ML solutions to key stakeholders.
- Presented advanced research in low-shot learning at the mATR industry conference (MIT Lincoln Labs), contributing to critical R&D initiatives.
Software Engineer
Lockheed Martin
Valley Forge, USA
06.2021 - 05.2023
- Served as Scrum Master for a team of 13 developers, overseeing the full lifecycle of 14 software applications.
- Developed and debugged applications and algorithms for image processing.
- Managed regular, on-time releases with comprehensive documentation, often under tight deadlines.
- Liaised with customers, tech leadership, and other teams, presenting progress and coordinating efforts.
Data Science Intern
Intel Corporation
06.2020 - 08.2020
- Review, clean, and augment data; query from large dataset; create visualizations using Tableau to obtain important business insights from large scale data; presented project findings to colleagues and tech leadership at close of internship.
Education
Bachelor of Science - Data Science & Applied Mathematics
Elizabethtown College
Elizabethtown, PA05.2021
Nanodegree Certification - Deep Learning
Udacity
06.2025
Skills
- Machine Learning & Architectures: Deep Learning, Computer Vision, Object Detection, Transformer networks (DETR, SWIN), Low-Shot Learning, ATR, Curriculum Learning, Data Augmentation
- ML Engineering & Deployment: Python (clean, modular code), PyTorch, Keras, Git, JIRA, Docker, Kubernetes, AWS/C2S, Performance Optimization
- Geospatial & Data: Image Preprocessing (GSD resampling, ground projection, etc), Remote Sensing, SAR Imagery, Electro-Optical (EO) Imagery, Numpy, Pandas, SQL, Data Augmentation
- Soft Skills and Other Applicable: Leadership, Agile methodologies, Public Speaking, Customer Relations, Business Development, Proposal Writing, Communication, Strategic Planning
Security Clearance
Top Secret/SCI with Poly
Timeline
AI/ML Engineer Sr
Lockheed Martin
05.2023 - Current
Software Engineer
Lockheed Martin
06.2021 - 05.2023
Data Science Intern
Intel Corporation
06.2020 - 08.2020
Bachelor of Science - Data Science & Applied Mathematics
Elizabethtown College
Nanodegree Certification - Deep Learning
Udacity