Artificial Intelligence & Agentic Systems
Deployed model modernization, multi-agent orchestration, and human-gated enterprise Agentic workflows with explicit runtime and safety boundaries.
Bonn, Germany
Lukas Dabkowski
Staff-level consulting architect across cloud, artificial intelligence, security, and enterprise transformation.
- Cloud Architecture
- Artificial Intelligence
- Security
- Enterprise Transformation
Profile
I work at staff level in consulting architecture across cloud platforms, artificial intelligence, security, and enterprise transformation. My AI work spans modernization of a deployed enterprise model layer, an implemented local-first Agentic workflow assistant, and a multi-agent AWS proof of concept. Across the wider portfolio, I combine hands-on implementation with architecture assessment, target-state design, migration and modernization guidance, security and compliance engineering, resilience planning, technical documentation, and enablement. I keep implementation, assessment, guidance, oversight, and production status explicit so that each piece of evidence remains clear.
Areas of Expertise
Cloud & Platform Architecture
AWS and Google Cloud architecture, cross-cloud target states, Kubernetes platforms, networking, governance, identity, and operating considerations.
Security & Compliance Engineering
Policy-as-code, regulated controls, cloud security analysis, identity and network security, safety validators, qualification evidence, and human approval.
Migration & Modernization
Current-state assessment, target architecture, migration strategy, application and database modernization, implementation guidance, acceptance, and rollback planning.
Resilience, Data & Enterprise Integration
Multi-region recovery, data replication, database architecture, messaging, browser and enterprise-application integration, failure handling, and state-safe workflows.
Architecture Delivery & Evidence
Assessments, architecture views, decisions, plans, code and infrastructure as code, runbooks, workshops, qualification evidence, audit records, and enablement.
Selected Work
Internal Enterprise AI Catalog Modernization
Deployed internal
Modernized the AI layer of a deployed internal catalog on AWS, moved model use to Amazon Nova Pro, and strengthened guardrails, access controls, and Terraform-managed infrastructure.
Agentic AI Time Tracking Assistant for Enterprise Workflows
Implemented local-first
Designed and implemented a local-first Agentic AI assistant that connects authenticated calendar activity with live PSA work structures and permits only explicitly approved draft writes.
Enterprise Agentic AI Architecture & Prototype
PoC — implemented
Designed and implemented a multi-agent proof of concept on AWS with coordinating orchestration, specialist capabilities, structured outputs, a web interface, and infrastructure as code.
Policy-as-Code and Compliance Engineering for Regulated AWS Workloads
Implemented controls
Engineered policy-as-code controls for regulated AWS workloads, translating security findings and GxP classification into testable profiles, evidence, exception handling, and controlled rollout.
Evidence-Driven GCP Firewall Audit and Least-Privilege Automation
Implemented human-gated tool
Built a local-first audit tool that correlates GCP firewall inventory with flow evidence and identity context, then produces least-privilege candidates for human review and controlled change.
Enterprise SaaS Platform Assessment and Azure-to-AWS Target Architecture
Assessment + target architecture
Performed an AWS MAP Assess engagement for a mature Azure SaaS platform, producing current-state findings, a conceptual AWS target, migration strategies, waves, governance considerations, TCO inputs, and risks.
Multi-Region Disaster Recovery Architecture with Implementation Oversight
Architecture + implementation oversight
Designed a multi-region disaster-recovery architecture for a serverless AWS application and provided architectural oversight while a cloud engineering team implemented the solution.
Oracle-to-Managed-PostgreSQL Migration Architecture
Architecture + guidance
Designed an Oracle-to-Amazon-RDS-for-PostgreSQL migration approach covering compatibility, secure access, resilience, operations, performance, delivery responsibilities, and database-team enablement.
Architecture & Documentation
Architecture work is expressed through decisions and delivery evidence: current-state and target views, migration and recovery plans, security specifications, implementation artifacts, runbooks, and qualification material. Public presentation uses newly reconstructed, anonymous material rather than private source documents.
- Architecture decisions and trade-offs
- Current-state and target architecture
- Migration and recovery decision packs
- Security and control specifications
- Implementation and infrastructure-as-code artifacts
- Runbooks, qualification evidence, and enablement
Credentials & Certifications
- AWS Certified Solutions Architect – ProfessionalAmazon Web Services
- AWS Certified Security – SpecialtyAmazon Web Services
- AWS Certified Machine Learning Engineer – AssociateAmazon Web Services
- AWS Certified Machine Learning – SpecialtyAmazon Web Services
Languages
- GermanC1 / UNIcert III
- English
- Polish
Contact
Professional contact