Founder-led engineer building evidence-first systems for high-trust domains (fintech, data, security).
20+ years in software engineering. Fintech since 2008 (comparison platforms, credit-data ecosystem / credit-information bureau operations).

I care about: traceability, reproducibility, privacy-by-design, and boring reliability.

• Market observability: snapshots → diffs → change signals (freshness, deltas, anomalies)
• Data contracts & provenance: versioned schemas, compatibility rules, reproducible outputs
• Trust tooling: corrections workflow, transparent methodology, verification signals
• Security & privacy engineering: threat modeling, least-PII architectures, evidence-driven readiness reviews (non-certification)

• Evidence-first: sources, snapshots, diffs, provenance — no “hand-wavy” claims
• Contracts-first: JSON Schema / OpenAPI, versioning & compatibility discipline
• Monitoring-first: freshness/anomalies are product features, not afterthoughts
• Security & privacy-by-design: least-privilege, minimal data collection, clear threat model
• Efficiency-first: lean delivery, minimal compute; measurable impact only where reporting exists (no “carbon neutral” claims)

• Full-stack engineering (web + APIs)
• Data engineering (extraction, validation, versioned contracts)
• Cloud/edge architecture & reliable delivery (observability, CI/CD, performance)
• Languages: Go, Python, TypeScript/JavaScript, Dart, PHP

Open to selected collaborations:

• Hardening web/API & data systems
• Monitoring & change detection pipelines (freshness/delta/anomaly)
• AI-assisted automation with guardrails (strict schemas + validation)

Available for high-level, evidence-driven reviews:

• Data quality & provenance
• Security/privacy readiness (signals-based, non-certification)
• Usability/clarity for trust-heavy products

• Finulio: https://finulio.com
• GitHub org: https://github.com/finulio