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AjvoGod/README.md

ajvogod@github ~ $ whoami

ajvogod portrait Ivo Schwarz terminal

Software, Data & AI Consultant

Email  ·  LinkedIn  ·  GitHub

ajvogod@github ~ $ ./contributions.sh

ajvogod heatmap

$ whoami

name: Ivo Schwarz
role: Software, Data & AI Consultant

focus:
  - AI systems & agents
  - software engineering
  - data platforms & engineering
  - backend & full-stack development
  - enterprise applications
  - automation & integrations

I design and build software at the intersection of AI, data engineering and application development.

My work ranges from enterprise metadata and data platforms to AI agents, RAG systems, MCP integrations, automation and production web applications.


$ cat ./stack

Languages

AI & Agents

Backend

Frontend

Data

Platform & Engineering


$ ls ./selected-projects

Enterprise Data & AI Control Center

Enterprise platform for understanding, operating and governing complex data environments.

Built around a metadata-first architecture combining data cataloging, lineage, observability, AI-assisted discovery and operational control.

Stack
.NET 8 · ASP.NET Core · Vue 3 · TypeScript · SQL Server · Power BI · MCP · Agentic Graph RAG · OpenRouter · Docker

Key areas

  • enterprise data catalog
  • automated metadata collection
  • SQL Server & Power BI lineage
  • logical relationship discovery
  • data quality and freshness monitoring
  • Text-to-SQL
  • Agentic Graph RAG
  • AI-powered metadata enrichment
  • RBAC, auditing and governance
  • operational incident management

private · enterprise platform


Metadata & Lineage Intelligence Platform

Metadata intelligence platform for discovering dependencies and relationships across enterprise systems.

Built around a deterministic metadata layer combined with AI-assisted search, retrieval and grounded explanations.

Stack
C# · .NET 8 · ASP.NET Core · PostgreSQL · SQL Server · Power BI · OpenRouter · Docker · Playwright · Testcontainers

Key areas

  • metadata ingestion and indexing
  • cross-system lineage
  • dependency discovery
  • impact analysis
  • hybrid search
  • deterministic relationship resolution
  • graph-enhanced retrieval
  • grounded AI explanations
  • metadata observability
  • integration and E2E testing

private · data intelligence


AI & Knowledge Platform

Full-stack AI platform for working with enterprise knowledge, LLM-powered workflows and agentic systems.

Combines retrieval, AI agents, tools, MCP integrations and multiple model providers behind a unified application layer.

Stack
Python · TypeScript · RAG · AI Agents · MCP · Vector Search · Docker · Kubernetes · Redis · MinIO

Key areas

  • Agentic RAG
  • custom AI agents
  • MCP integrations
  • enterprise knowledge search
  • hybrid retrieval
  • deep research workflows
  • tool execution
  • code execution
  • multi-provider LLM integration
  • scalable background processing
  • containerized deployments

private · AI platform


Counterparty Risk & Verification Platform

Production platform for verifying companies and individuals before entering into business, contractual or rental relationships.

Debtora combines public and official registry checks, automated risk assessment and continuous counterparty monitoring into a single verification workflow.

The platform helps users identify potential risks before signing a contract and continue monitoring counterparties after the relationship begins.

Key areas

  • company verification
  • individual verification
  • counterparty risk assessment
  • insolvency checks
  • enforcement checks
  • VAT verification
  • business registry integrations
  • automated risk scoring
  • continuous counterparty monitoring
  • change detection and notifications
  • verification history
  • PDF reporting
  • credit-based payments
  • subscription monitoring

Integrated data sources
ARES · Insolvency Register · VAT Registers · VIES · Trade Register · Enforcement Records · Public Company Records

🌐 debtora.cz

production · SaaS · risk intelligence


$ cat ./engineering

AI systems are more than models.

Model   -> intelligence
Loop    -> repetition and control
Graph   -> topology and orchestration
Harness -> tools, permissions, memory, evaluation and safety

I focus on building systems where software architecture, data and AI work together as one production environment rather than treating the model as the entire product.


build · automate · iterate

Software · Data · AI

Ivo Schwarz · Software, Data & AI Consultant

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