Senior Python Engineer | Agentic AI & Platform Engineering | Financial Services

Agentic AI, LLM Integration & AI-Assisted Development

Agentic AI in locked-down enterprise environments. I designed and built a library of agent skills for GitHub Copilot, giving AI agents MCP-style access to the engineering work context - Jira, Confluence, Jenkins, Teams, Outlook - where MCP servers are not permitted. Human-in-the-loop by design: agents read and draft only, a person sends every message, and API access was approved by the bank's security team. I also built and operate an AI-driven tracker of upstream platform events that matches incoming questions to known incidents and drafts ready-to-paste answers, removing 1-2 hours of manual work a day. Tools and methods: GitHub Copilot agents, Claude Code, MCP-style tool integration, PowerShell agent skills, AI-assisted development across the software delivery lifecycle. Daily work with LLM-based coding agents and AI agent workflows: judging where agent output is reliable, and what a human must still own before anything ships.

Python Backend & API Development

12+ years of Python engineering. Backend services and APIs with FastAPI, asyncio, SQLAlchemy and PostgreSQL, plus Django/DRF, Flask, Celery and RabbitMQ. High-throughput Python backends in payments, ad-tech and e-commerce.

Platform Engineering: Kubernetes, Docker, CI/CD

Platform and delivery tooling that engineering teams run on. Kubernetes and Docker in production, Helm and Helmfile for deployment, Ansible for configuration management. Automated container image builds and CI/CD pipelines with Jenkins, GitLab CI and GitHub across multi-repository environments, including the shared repository template used by a whole engineering team. DevOps practice: containerisation, reproducible build environments, release automation, and packaging Python and FastAPI services for deployment onto Kubernetes.

Cloud: Azure, GCP, AWS

Kubernetes, Docker and CI/CD on GCP, Azure (Event Hubs, Databricks) and AWS (EC2, S3, ECR, ECS). Cloud deployment and automation for regulated workloads.

Regulated Financial Services

Three years in regulated finance - HSBC Global Finance and Worldline Merchant Services. Experience taking engineering work, AI tooling included, through enterprise security review and compliance constraints.

Streaming & Data

Spark Structured Streaming on Azure Databricks, a Python PgQ consumer streaming payment transaction events to Azure Event Hubs, Polars and Pandas pipelines.

Testing, Observability & Code Quality

pytest, TDD and DDD, code review, packaging and refactoring as an engineering partner to analyst teams. Observability with ELK Stack and Grafana. SQL, PostgreSQL, MySQL, Redis, MongoDB.

Embedded & C

Embedded Linux development in C for ARM/ST set-top boxes (DVB-T2, HLS, RF4CE remote pairing) at Samsung Electronics Polska.