Systems architecture for intelligence, evidence, and automation.

Most OSINT stacks break when scale, auditability, and operator usability all matter at once.

• Built orchestration flows from collection through reporting.
• Designed worker fleets with retries, idempotency, and evidence preservation.
• Created ranking and scoring layers to turn noisy signals into usable leads.

Misinformation and coordinated narratives spread faster than traditional monitoring systems can inspect or explain them.

• Built narrative clustering and node-link analysis around coordinated signal bursts.
• Tracked propagation paths from seed communities to bridge actors and broader mainstream pickup.
• Modeled velocity, sentiment drift, and amplification patterns as system-level signals instead of isolated posts.

Manual interaction does not scale and introduces noise, inconsistency, and weak operational feedback in behavior-heavy workflows.

• Built orchestration logic that mimicked human interaction patterns at runtime.
• Captured structured behavioral data for downstream enrichment and scoring.
• Added anti-detection timing, recovery behavior, and operator controls around unstable flows.