Python Backend Engineer

Backend systems for AI governance, agent control, and runtime safety.

I build Python services around FastAPI, scoped agent access, policy simulation, audit trails, incidents, replay workflows, operator tooling, and practical control layers for AI systems.

View GitHub LinkedIn

AGIP

flagship AI governance platform combining agent auth, policy simulation, approvals, incidents, regression testing, observability, and enterprise governance layers

Ops

backend-first profile with approvals, audit trails, replay jobs, policy surfaces, and operator tooling

AI Ops

practical AI systems work with persistence, review workflows, incident handling, and operational visibility

Selected Projects

Flagship platform first, supporting systems underneath.

FastAPI AI Governance Agent Systems

AGIP - Agentic Governance Intelligence Platform

Local-first AI governance platform for autonomous agents with scoped access, policy simulation, approvals, audit logs, redaction, incidents, regression testing, observability, inference readiness, and enterprise governance layers before agents touch business systems.

AGIP operator dashboard with enterprise governance layers

Open repository

FastAPI Governance MTA

Agent Governance Gateway

Portfolio-grade FastAPI prototype for enterprise AI agent governance. It supports agent registration, human approval, short-lived scoped JWTs, revocation, multi-tenant isolation, PII redaction, policy-enforced tool access, audit logs, and an executive dashboard.

Open repository

FastAPI Control Plane AI Ops

Agent Control Plane

Production-oriented FastAPI control plane for AI agents with persistent runtime state, worker-backed replay jobs, audit trail, operator notes, tenant-aware access, metrics, and a simplified operator review cockpit.

Open repository

FastAPI RAG Evaluation

Danex RAG Service

Product-style hybrid RAG backend combining semantic retrieval with SQL-backed answers, ingestion, FAISS indexing, citations with scores, route transparency, query history, ingestion history, and evaluation signals.

Open repository

FastAPI MCP Security

MCP Security Gateway

Security-first FastAPI gateway for controlling agent access to MCP tools with auth, deterministic policy checks, approval routing, rate limiting, redacted audit logs, and incident creation for unsafe requests.

Open repository

Python Observability AI Workflows

AI Workflow Observatory

Local-first observability dashboard for AI-assisted engineering workflows. It turns raw coding-session logs into workflow phases, verification quality, risk flags, cost visibility, project summaries, and session traces.

Open repository

FastAPI Automation Approvals

Automation Control Plane

Backend-first control layer for automation workflows with tenant-aware access, approval queues, usage limits, execution audit logs, and operator review surfaces.

Open repository

Python Insights Business AI

Brand Insight Engine

Feedback intelligence pipeline that turns public customer feedback and market signals into structured product, brand, and marketing insights.

Open repository

FastAPI React Agentic Workflow

Agentic 3D Asset Studio

Local-first AI workflow platform for 3D asset generation with provider abstraction, real GLB preview, metadata, quality reports, quality gates, run replay, observability, storage inspection, ZIP packages, and agent-ready API endpoints.

Open repository

React Agent Governance Product UI

AgentOps Control Hub

Premium React and TypeScript product surface for AI agent governance, approval queues, secure tool access, audit logs, risk scoring, observability, and evaluation scorecards.

Open repository

Stack

What I actually use.

Python FastAPI SQL PostgreSQL SQLite Docker Git Pytest Redis MCP LangChain FAISS REST APIs Bash

Primary direction

Python backend, API design, runtime control, operator workflows, automation, and testable business logic.

Secondary edge

Practical AI systems: control layers, retrieval-backed workflows, LLM-assisted tooling, internal operator products.

What I am not selling as

Backend-first systems profile. Not a generic fullstack pitch and not a pure data-science profile.

Timeline

Recent experience, without the noise.

Aug 2021 - Sep 2022

IT operations, reporting, customer-facing support, ticketing workflows, SQL basics, and internal technical processes.

Oct 2022 - Oct 2023

Enterprise IT automation, chatbot-related solutions, SQL/API-style workflows, documentation, troubleshooting, and team-based technical delivery.

Nov 2023 - Feb 2024

AI automation and business workflow prototypes, including Brand Insight Engine and Automation Control Plane.

Mar 2024 - Mar 2025

Team-based AI backend and internal agent-style workflow systems: controlled tool access, approvals, audit logs, observability, and human-in-the-loop review.

Apr 2025 - Present

DANIELOZA.AI backend and AI automation work for Danex and other small to mid-sized businesses around Wroclaw: appointments, invoices, reporting, Telegram-based workflows, exports, backups, and practical AI/OCR-assisted processing.

Best target roles

Systems Engineer, Backend Platform Engineer, Python Backend Engineer, AI Infrastructure Engineer.

Contact

Want the shortest path to the relevant proof?

The fastest way to evaluate me is through GitHub repositories and a short technical conversation around Python backend work, FastAPI services, MCP-aware systems, runtime governance, and practical AI integrations.