Enterprise AI & Platform Architecture Leader | Research: agent identity, delegation, provenance | VP at Deutsche Bank
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aip-gateway
April 25, 2026 – Present
Drop-in policy proxy for AIP delegation verification on MCP and A2A
View Projectagentic-ai
March 26, 2026 – Present
A practical field guide to building reliable, evaluable, and production-grade agentic AI systems
View Projectenterprise-data-architecture
March 22, 2026 – Present
Architecture position pack for enterprise data platforms -- strategy, blueprints, and decision frameworks
View Projectaip
March 22, 2026 – Present
Agent Identity Protocol -- verifiable, delegable identity for AI agents across MCP and A2A. IETF Internet-Draft. PyPI: agent-identity-protocol
View Projectdbt-data-vault-starter
March 9, 2026 – Present
Opinionated dbt project template for Data Vault 2.0 on BigQuery — hubs, links, satellites with built-in audit and lineage patterns
View Projectai-governance-framework
March 9, 2026 – Present
Practical AI governance patterns for regulated industries — risk assessment templates, model lifecycle controls, EU AI Act alignment
View Projectldp-research
March 9, 2026 – Present
Experiment code, data, and paper source for: LDP — An Identity-Aware Protocol for Multi-Agent LLM Systems
View Projectldp-protocol
March 9, 2026 – Present
LDP — LLM Delegate Protocol: identity-aware communication for multi-agent LLM systems
View Projectjam-cli
February 22, 2026 – Present
Developer-first AI CLI for cross-language code intelligence. Trace call graphs, impact analysis, agentic execution across Java, SQL, Python, TypeScript. 40+ commands. Zero vendor lock-in.
View Projectebac-neuralnets
April 10, 2017 – May 30, 2017
KE5206 Computational Intelligence I - Continuous Assessment 1
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, research-oriented AI/ML and data engineering initiatives, indicating a strong passion for the field and self-driven learning. The projects align well with a Data Scientist role, particularly one involving advanced AI concepts, agentic systems, and data architecture. However, the lack of team-based or professional project experience makes it difficult to assess collaboration and broader cultural fit within a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects demonstrate initiative and a focus on complex, cutting-edge AI topics, suggesting strong problem-solving and self-direction.