Dustin J. Ober

Data Scientist & ML Engineer

Chantilly, VA

Data Scientist specializing in NLP, Machine Learning, and Production ML Systems. 30+ models deployed for defense and intelligence applications, bridging educational strategy with AI implementation.

20+
Years Experience
30+
ML Models Deployed
97%
Process Automation
PMP
Certified

Core Specializations

AI/ML Implementation
LangGraph & Multi-Agent Systems
DSPy & Prompt Optimization
NLP & Named Entity Recognition
Sovereign AI Architecture
Section 508 & Accessibility
Instructional Design (ADDIE)

Current Position

ML Engineer / Data Scientist

Leidos - Chantilly, VA

  • 97% Automation: Built data pipelines reducing report generation from 1 week to 30 minutes
  • Custom NER Models: Designed Named Entity Recognition models for specialized intelligence datasets
  • Production ML: Trained and deployed 30+ ML models using TensorFlow and DSPy
  • Accessibility Leadership: Created Section 508/WCAG database adopted organization-wide
  • ML Infrastructure: Built secure FastAPI REST services with JWT and Dockerized applications

Professional Credentials

Project Management Professional (PMP)

PMI

2024

TensorFlow Developer Certificate

Google

2023

AWS Cloud Practitioner

Amazon

2023

IBM Data Science Professional

IBM

2022

Google Data Analytics

Google

2022

View All Certifications

Published Research

Author of The Sovereign AI Handbook series - technical whitepapers on deploying AI systems in air-gapped, classified, and compliance-heavy environments.

01

Sovereign AI Infrastructure

Hardware & Architecture for Disconnected Environments

02

The Disconnected Pipeline

Solving Dependency Management in Secure Facilities

03

Private Knowledge Retrieval

Architecting Local RAG Systems

04

Verifiable Intelligence

DSPy, Governance, and Hallucination Control

Security Clearance

Top Secret Clearance with SCI and Polygraph

Trusted professional working on sensitive defense and intelligence projects requiring the highest levels of trust and expertise.

Frequently Asked Questions

How do you implement AI in classified environments?

I specialize in deploying AI systems within air-gapped, classified networks using sovereign infrastructure patterns. This includes local model hosting, containerized deployments (Docker/Apptainer), and secure dependency management without internet access.

What is sovereign AI infrastructure?

Sovereign AI refers to AI systems that operate entirely within controlled boundaries—no cloud dependencies, no data egress. It's essential for defense, intelligence, and regulated industries requiring 100% data sovereignty.

Do you work with defense contractors?

Yes, I have extensive experience working with defense and intelligence organizations. I hold a Top Secret clearance with SCI and Polygraph, enabling me to support sensitive mission-critical projects.

How long does AI training curriculum development take?

Typical AI training curriculum development ranges from 4-12 weeks depending on scope. I use the ADDIE framework combined with rapid prototyping to deliver comprehensive technical training efficiently.

Let's Work Together

Available for consulting on AI implementation, instructional design, and technical training development.