Aaron E.

Founder

United States7 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Reduced analyst triage time by up to 85%
Founder of 0xSpectra, an innovation lab
Expert in AI-driven security systems design

Stackforce AI infers this person is a Cybersecurity and AI specialist with a focus on threat intelligence and system architecture.

Contact

Skills

Core Skills

Threat IntelligenceAi/ml EngineeringWeb SecurityExplainable AiNatural Language ProcessingQuery OptimizationAutomation

Other Skills

Amazon Web Services (AWS)Data AnalysisCybersecurityVulnerability AssessmentKnowledge Graph-Based Natural Language ProcessingPenetration TestingAnsibleGhidraEthical HackingSIEM (Splunk, ELK Stack)AWS Identity and Access Management (IAM)Information SecurityTerraformUX/UI EnhancementSimulation Training Systems

About

**PROVIDING ORGANIZATIONS WITH AI/ML WORKSHOPS** I design AI systems that make cybersecurity faster, safer, and more human. My work sits at the intersection of AI governance, threat intelligence, and large-scale system design. I focus on translating policy into enforceable code, building agent-based security systems, and designing evaluation frameworks that make AI reliable in production. I’ve led and built AI-driven security systems that: Reduced analyst triage time by up to 85% Cut operational costs through agentic automation Scaled threat intelligence pipelines using graph-based and LLM-driven approaches I’m the founder of 0xSpectra, an innovation lab exploring next-generation browser security, AI evaluation systems, and post-quantum–aware security tooling. I also consult with enterprise teams on AI governance, policy-as-code implementation, and secure AI system architecture. I believe the next phase of AI security isn’t bigger models. It’s better systems.

Experience

Netstar, inc.

3 roles

Senior Machine Learning Engineer - Threat Intelligence|Threat Hunting

Promoted

Aug 2025 – Present · 7 mos

End‑to‑end ownership of security web categorization and AI/ML‑driven threat intelligence, from R&D and architecture through production release.

Cyber AI/ML Engineer II

Promoted

Apr 2024 – Aug 2025 · 1 yr 4 mos

I design modular micro-LLM systems using LangChain, Golang, and intelligent scrapers to support large-scale threat classification. I engineer graph neural network (GNN) pipelines to process complex datasets and generate actionable intelligence, integrating embeddings, detection logic, and contextual enrichment. This includes building tooling for the discovery of malware, phishing campaigns, and other suspicious activity.
I develop interoperable STIX/TAXII connectors to support structured threat intelligence sharing across national and open-source platforms. My work also involves designing ML workflows for anomaly detection, building tools for real-time encrypted traffic analysis, and creating secure compression methods for efficient data transmission and storage.
I regularly build and deploy custom web categorization tools to extract OSINT and deliver operational visibility at scale. I am currently selected to present peer-reviewed research on AI-driven security methodologies at a 2025 international cybersecurity conference and am actively seeking further speaking opportunities and collaborations.

Amazon Web Services (AWS)Data AnalysisThreat IntelligenceAI/ML Engineering

Threat Intelligence Research Engineer

Apr 2024 – Sep 2024 · 5 mos

Loriffium

Web Security Auditor and AI Web Developer

Oct 2022 – Apr 2024 · 1 yr 6 mos · Remote · Remote

I conduct applied research in explainable AI, focusing on the development of tools that improve transparency in decision-making systems. My work includes auditing and refactoring codebases for startups to support long-term maintainability, code unification, and engineering scalability.
I design and refine custom web applications and workflow tools to improve operational efficiency and adaptability. This includes conversation-based explainable AI systems that simplify complex data insights for users, as well as technical platforms for cybersecurity analysis.
During this period, I also collaborated on enhancing simulation training for autonomous systems, improving onboarding through targeted UX/UI updates and AI prompt engineering. I crafted consolidated technical documentation and implemented authentication improvements for growing software platforms.
Notable projects include the redesign of a natural language to KQL (NL2KQL) pipeline with integrated model evaluation, prompt normalization, and schema-aware validation. I also developed a custom KQL emulator to streamline query testing workflows and support advanced security research.
Technical Skills:
Amazon Web Services (AWS) · Cybersecurity · Vulnerability Assessment · Knowledge Graph-Based Natural Language Processing · Penetration Testing · Ansible · Ghidra · Ethical Hacking · SIEM (Splunk, ELK Stack) · AWS Identity and Access Management (IAM) · Information Security · Terraform · Explainable AI · UX/UI Enhancement · Simulation Training Systems · Technical Documentation · Prompt Engineering · Workflow Automation

Amazon Web Services (AWS)CybersecurityVulnerability AssessmentKnowledge Graph-Based Natural Language ProcessingPenetration TestingAnsible+13

2u

3 roles

Senior Central Grader | Cyber, Full-Stack, & Fintech

Feb 2022 – May 2022 · 3 mos · Remote

LeadershipProcess Improvement

Bootcamp Operations Lead | Automation & Workforce Enablement

Promoted

Feb 2020 – Oct 2022 · 2 yrs 8 mos · Remote

In this tenure, I automated employee lifecycle management using Salesforce, ADP, and
Greenhouse to streamline processes and boost data accuracy. I supported cross-functional teams
with hands-on technical leadership and helped tackle challenges while improving collaboration. I
also coordinated staffing to meet changing needs and optimize resources.
Verified API utilization and smooth Python Anaconda installation for remote teams by updating
technical training materials.
Decreased annual new hire costs by $85K through efficient remote upskilling on API
usage and Python Anaconda setup by producing onboarding and training resources, including
centralized e-learning modules.

LeadershipProcess ImprovementAutomation