AI/ML & Systems Engineer
Leif P. Heaney
Build intelligent systems that transform complex data into actionable insights & confident decisions — across applied AI, systems engineering, edge deployment, and federal programs.
Interactive Bio
Explore my background.
Full Résumé
Experience, education & skills.
Leader in the field of AI/ML with specialized expertise spanning applied AI, systems engineering, data analytics, and software development to design and ship production AI applications and model-based system architectures. Promote enterprise transformation via AI adoption and systems engineering best practices. Bridge industry with academia by teaching undergrad Computer Science and graduate Information Assurance.
Core Competencies
Professional Experience
Reveal Technology
Systems Engineer
2026 – Present · Bozeman, MT
Engineer backend infrastructure and edge deployment strategies that unify global location telemetry, behavioral analytics, and high-resolution geospatial data for real-time, offline-capable situational awareness.
- Design and optimize end-to-end systems for deploying edge AI and computer vision models in disconnected, intermittent, and limited (DIL) environments.
- Engineer robust deployment pipelines using Docker and Kubernetes to manage containerized AI workloads across tactical edge devices.
- Interface with cross-functional teams to translate complex tactical requirements into technical specifications, bridging software development and hardware constraints for defense-centric AI solutions.
- Architect and maintain geospatial data pipelines supporting high-fidelity, real-time mapping and 3D reconstruction for tactical intelligence.
- Design and govern scalable data lakes for secure storage and retrieval of massive computer vision datasets with automated metadata tagging.
The MITRE Corporation
Systems Engineer, Intermediate
2021 – 2025 · McLean, VA
Spearheaded systems engineering across program lifecycle — from requirements definition to deployment — for federal programs across DoD, DHS, and HHS. Maintained traceability via MBSE/SysML, digital twins, and digital threads.
- Automated data processing with end-to-end ETL pipelines and custom models for data-driven decision making.
- Hardened COMSEC systems through implementation of DoD Zero Trust Architecture (ZTA), ensuring regulatory compliance.
- Developed comprehensive MBSE reference architecture and high-fidelity digital twins, enhancing system resilience, traceability, and transparency.
- Designed and delivered 12+ DoDAF/UAF views and SysML diagrams for federal programs, documenting complex system architectures, interfaces, and behavior.
- Developed interactive GIS dashboards integrating LPR technology and open-source GIS data in QGIS, enabling pattern-of-life analysis and prioritization of 3 high-risk locations.
Capitol Technology University
Adjunct Faculty — Computer Science Department
2022 – Present · Laurel, MD
Led instruction and subject-matter expertise across Computer Science and Information Assurance for 100+ students over 4 years. Drove 2 end-to-end curriculum overhauls for CS-120: Intro to Programming with Python (6 sections taught).
- Served as SME and instructor for IAE-574: Assured Software Analytics, integrating contemporary methodologies across labs, eLearning, and assessments over 3+ years.
- Bridged theory and application by integrating industry best practices and real-world cases into curriculum, enhancing students' practical relevance and employability.
Education
Master of Science (MS) — Computer Science
Capitol Technology University · Laurel, MD · 2022 · GPA 3.86
Bachelor of Science (BS) — Computer Science
Capitol Technology University · Laurel, MD · 2020 · GPA 3.5
Clearance
- SECRET — Department of Defense (DoD)
- S&T EOD IT 5C (Medium) — Department of Homeland Security (DHS)
- MBI (Moderate) — Internal Revenue Service (IRS)
Tech Stack
Languages & Notation
AI/ML & Data
Geospatial & Viz
Cloud & DevOps
MBSE & Systems