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Builder of AIR Blackbox — open-source AI governance infrastructure for the EU AI Act. 13+ years in tech recruiting (AWS, Meta). Building compliance tooling so A
AI is analyzing your overall score…
Identifying your key strengths…
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Assessing your cultural and operational fit
AIR Blackbox
Data Scientist
June 21, 2026 – Present
VaultMind
March 4, 2026 – Present
It's like ChatGPT, but it only knows what you tell it — and nothing ever leaves your computer.
View Projectair-trust-crewai
February 18, 2026 – Present
AIR Trust Layer for CrewAI — Drop-in security, audit, and compliance for CrewAI multi-agent workflows. Part of the AIR Blackbox ecosystem.
View Projectair-platform
February 17, 2026 – Present
One command to run the full AI audit stack: Gateway + Policy Engine + Episode Store + Jaeger + Prometheus. Make up. 8 seconds.
View Projectairblackbox
February 14, 2026 – Present
Open-source EU AI Act compliance scanner. 51 checks across Articles 9-15. Drop-in trust layers for LangChain, CrewAI, AutoGen, OpenAI. Local-first, no data leaves your machine.
View Projectaibom-policy-engine
February 14, 2026 – Present
AIBOM policy-as-code engine — deny risky combinations of models, tools, and data. OPA-style policy rules for AI supply chain governance. Enforce model pinning, tool approvals, and provider restrictions.
View Projectruntime-aibom-emitter
February 14, 2026 – Present
Runtime AIBOM emitter — generate AI Bills of Materials from what actually ran. Combines static inventory with runtime OTel trace evidence: models, tools, endpoints, versions. CycloneDX-compatible output.
View Projectmcp-security-scanner
February 14, 2026 – Present
Security scanner for Model Context Protocol (MCP) servers. Static + dynamic checks for path traversal, auth gaps, prompt injection surfaces. Produces SARIF output for GitHub code scanning.
View Projectotel-prompt-vault
February 14, 2026 – Present
OpenTelemetry Collector processor that offloads sensitive GenAI content to external storage, leaving structured references in traces. Privacy-by-default for LLM observability.
View Projectotel-semantic-normalizer
February 14, 2026 – Present
OTel Collector processor that normalizes vendor/framework LLM attributes to canonical gen_ai.* semantic conventions. One dashboard to rule them all.
View Projectotel-collector-genai
February 14, 2026 – Present
Privacy-by-default OTel Collector processor for GenAI: redaction, cost/token metrics, and runaway loop detection
View ProjectCultural Fit Analysis
The candidate's projects are highly aligned with cutting-edge AI governance, security, and observability, which could be a strong fit for organizations focused on responsible AI. The breadth of personal projects demonstrates initiative and a passion for the field. However, the candidate's experience level is listed as 0, and the only listed 'experience' is a current role at 'AIR Blackbox' which appears to be the candidate's own project ecosystem. This suggests a strong entrepreneurial drive but a potential lack of experience in a traditional corporate or team-based data science environment, which might impact cultural integration depending on the target company's structure. The projects are very specific to AI security and compliance, which might limit broader data science applications.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive, innovative, and security-conscious approach to AI development. The focus on open-source contributions and building comprehensive solutions (e.g., 'one command to run the full AI audit stack') indicates strong problem-solving and system-thinking abilities. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.