Vahe Martirosyan

Cyber Threat Emulator · Red Team Operator · AI Security Systems Architect

CLEARANCE: ACTIVE Eligible for Transfer · United States

Summary

U.S. Space Force Cyber Threat Emulator with expertise in adversary emulation, offensive security automation, and AI-driven security systems. Architect of automated attack simulation platforms, enterprise SIEM systems, and autonomous LLM agents. Winner of national-level cyber competitions including Presidents Cup. Combines classified operational experience with production-grade software engineering across Python, Rust, and TypeScript.

Experience

Cyber Threat Emulator / Red Team Operator
2021 – Present
U.S. Space Force, 630th Cyberspace Squadron · Vandenberg SFB
  • Lead full-spectrum adversary emulation campaigns for Space Force and joint cyber exercises, improving defensive posture across critical space systems
  • Architected and operate 70+ node cyber ranges replicating enterprise, mission, and adversary infrastructure at scale
  • Developed ATT&CK-aligned threat emulation playbooks adopted across multiple exercises, increasing detection capability validation
  • Serve dual red cell/white cell role, managing exercise control and learning outcomes for 50+ participants per engagement
  • Transform red team findings into detection engineering improvements, enhancing SOC alert fidelity
Competition Wins
  • Guardian Galactic Gauntlet
  • Presidents Cup
  • SANS Competitions
Security Operations Center (SOC) Analyst
2021 – Present
U.S. Space Force, 630th Cyberspace Squadron
  • Triage 200+ alerts weekly across SIEM, EDR, and NDR with sub-30-minute critical response times
  • Correlate endpoint, network, and log telemetry for threat hunting and incident response operations
  • Author threat intelligence reports translating technical findings into actionable risk assessments

Core Skills

Offensive Security

  • Red Team Operations
  • Adversary Emulation (ATT&CK)
  • Automated Attack Simulation
  • Purple Teaming

Defense & Forensics

  • SOC / Incident Response
  • SIEM / NDR / EDR
  • Detection Engineering
  • Forensic Storage & CoC

AI & Autonomous Systems

  • LLM Agents & Orchestration
  • Multi-Agent Architecture
  • Applied ML Systems

Tech Stack

Python Rust TypeScript FastAPI Next.js LangChain PyTorch Docker K8s PostgreSQL Kafka Redis

Certifications

GPEN
GIAC Penetration Tester
SEC+
CompTIA Security+
GXPN
GIAC Exploit Researcher (In Progress)

Recognition

Achievement Medal for Excellence

Ventures & Technical Projects

Konvertly
2025 – Present
Co-Founder & CTO · AI-Powered Lead Generation SaaS (Launched)
  • Built platform combining lead intelligence (company data, news, social signals) with AI-generated personalized outreach
  • System learns from response patterns to optimize timing, messaging, and targeting with A/B testing
  • Implemented anti-spam compliance while maintaining genuine personalization at scale
Stack: TypeScript, Next.js, PostgreSQL, Stripe, BullMQ
DedSec.ai
2024 – Present
Founder & Developer · Scope-Controlled Adversary Emulation Platform
  • AI-driven platform using autonomous agents to simulate realistic attack chains within strict boundaries
  • Multi-agent architecture: planning agent coordinates execution agents under governance layer enforcing scope
  • Full audit trail and forensic logging with existing security infrastructure integration
Impact: 70% faster validation · 100% scope compliance · 60% of competition points · Stack: Python, LangChain, Docker, K8s
Project AEGIS
2025 – Present
Founder & Lead Developer · Modular SIEM for Air-Gapped & Cloud Environments
  • Modular architecture with pluggable collectors, high-performance correlation engine, cryptographically verified storage
  • Mesh deployment with automatic failover; supports offline air-gapped networks with chain-of-custody compliance
Impact: POC at 100K events/hour · Zero integrity incidents · Stack: Rust, Elasticsearch, Kafka, gRPC, Local VLLMs
Blackbox AI CTF Engine
2025
Founder & Developer · Dynamic CTF Generator with AI Auto-Validation
  • AI engine generating challenges across web, crypto, forensics, binary using constrained generation
  • Creates challenges with known solutions, validates via automated solving; difficulty calibration from solve rates
Impact: 100+ challenges in 6 categories · Creation: days→minutes · 95% satisfaction · Stack: Python, FastAPI, LangChain
EvolveAI
2024 – 2025
Co-Founder & CTO · Character AI with Emotional Responsiveness
  • Character AI with personality core, emotional state machine, and adaptive memory system
  • Real-time response (<200ms), consistent personality across sessions, user personality analysis for personalization
Impact: 10K users launch week · 4.5/5 engagement · 80% less repetition · Stack: Python, FastAPI, PostgreSQL, WebSockets
AverAI
2023 – 2024
Co-Founder & CTO · ML-Driven Web3 Trading with Conversational Explainability
  • ML pipeline: time-series price prediction, NLP sentiment analysis, on-chain whale tracking
  • Conversational interface explaining recommendations and risk factors in plain language
Impact: 20% over baseline · 10K+ data points/min · 500+ beta users · Stack: Python, PyTorch, LangChain, Solidity