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.

Reveal Technology
Systems Engineer
Capitol Tech
Adjunct Faculty
SECRET Clearance
DoD

Interactive Bio

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Full Résumé

Experience, education & skills.

AI/ML and systems engineer with experience designing data-intensive applications, model-based architectures, intelligent automation, and edge-deployable systems for complex operational environments. I connect implementation, verification, and technical communication across industry and higher education.

Core Competencies

Model-Based Systems EngineeringMission & SoSEDigital EngineeringMulti-Modal AI & Computer VisionAI-as-a-ServiceGeospatial IntelligenceAI-Enabled & Agentic SystemsEdge AI & Distributed SystemsIntelligent AutomationPredictive AnalyticsSystems Integration & TestingModeling & Simulation

Soft Skills

Cross-Functional CollaborationStakeholder CommunicationTechnical LeadershipMentorshipSystems ThinkingRequirements TranslationProblem SolvingAdaptabilityDecision-MakingProject PlanningStrategic Thinking

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)

Industry Experience

Defense TechnologyNational SecurityHomeland SecurityHealth & Human SafetyGovernment & Public SectorAcademia

Tech Stack

Languages & Runtime

PythonRC#JavaSQLPHPHTML/CSS/JSNode.js

AI/ML & Data

TensorFlowPyTorchKerasOpenCVHuggingFaceNumPypandasScikit-learnspaCyLangChainMLflow

Geospatial & Viz

GeoPandasPlotlyDashD3.jsEsri ArcGISQGIS

Cloud & DevOps

AWSAzureGCPDockerKubernetesFastAPITerraform

MBSE & Systems

CameoMagicDrawIBM DOORSSysMLUMLUPDMDoDAFUAF

Web & Application Engineering

ReactVue.jsAstroFlaskDashD3.js