aka Aleksander Marszałkiewicz
I’m a Python backend developer with professional experience in building data‑heavy and service‑oriented systems. My work sits at the intersection of backend engineering, data pipelines, and DevOps, with growing hands‑on experience in applied machine learning.
I have over 4+ years of commercial Python experience, a solid DevOps foundation, and practical exposure to machine‑learning systems, especially vision‑language models and OCR‑based pipelines.
Before moving fully into software development, I worked in project management and industrial software implementations, which left me with an unusually high tolerance for legacy systems, unclear requirements, and reality.
flowchart LR
%% Nodes
PM(Project Management<br/>Industrial Systems)
ERP(ERP Implementation<br/>& Administration)
DW(Databases<br/>& Data Warehousing)
PY(Python Backend<br/>Development)
PIPE(Data Pipelines<br/>& Observability)
ML(Applied ML<br/>& OCR Systems)
%% Connections
PM --> ERP --> DW --> PY --> PIPE --> ML
%% True Neon Palette
classDef nBlue fill:#00f2ff,stroke:#00b7ff,stroke-width:2px,color:#000,font-weight:bold;
classDef nGreen fill:#00ff9f,stroke:#00d986,stroke-width:2px,color:#000,font-weight:bold;
classDef nOrange fill:#ffaa00,stroke:#ff8800,stroke-width:2px,color:#000,font-weight:bold;
classDef nRed fill:#ff3131,stroke:#d00000,stroke-width:2px,color:#fff,font-weight:bold;
%% Apply Styles
class PM,ERP nBlue;
class DW,PY nGreen;
class PIPE nOrange;
class ML nRed;
flowchart LR
%% Main Node
root((Focus))
%% Categories
Py{Python}
Dev{DevOps}
Data{Data}
Obs{Observability}
ML{ML}
%% Leaves
Py1[Backend services]
Py2[Data processing]
Dev1[Docker]
Dev2[Local-first infra]
Data1[Pipelines]
Data2[Warehousing]
Obs1[Monitoring]
Obs2[Reliability]
ML1[OCR]
ML2[Vision-Language Models]
%% Connections
root:::main --> Py:::nBlue & Dev:::nBlue & Data:::nGreen & Obs:::nOrange & ML:::nRed
Py --> Py1:::nBlue & Py2:::nBlue
Dev --> Dev1:::nBlue & Dev2:::nBlue
Data --> Data1:::nGreen & Data2:::nGreen
Obs --> Obs1:::nOrange & Obs2:::nOrange
ML --> ML1:::nRed & ML2:::nRed
%% True Neon Palette Styles
classDef main fill:#1a1a1a,stroke:#fff,stroke-width:4px,color:#fff;
classDef nBlue fill:#00f2ff,stroke:#00b7ff,stroke-width:2px,color:#000,font-weight:bold;
classDef nGreen fill:#00ff9f,stroke:#00d986,stroke-width:2px,color:#000,font-weight:bold;
classDef nOrange fill:#ffaa00,stroke:#ff8800,stroke-width:2px,color:#000,font-weight:bold;
classDef nRed fill:#ff3131,stroke:#d00000,stroke-width:2px,color:#fff,font-weight:bold;
- Python (3.12+)
- FastAPI, Django
- Async & task queues (Celery)
- Pandas, Polars
- PostgreSQL, TimescaleDB
- RabbitMQ, Kafka
- ETL & data warehousing
- Docker, Docker Compose
- Kubernetes
- Local-first environments
- OCR pipelines (Tesseract)
- Vision‑Language Models
- Custom LoRAs
- Flux-dev, NVIDIA Nemotron, Gemma
- LangChain, LangSmith
flowchart LR
%% Nodes
A[Robust Python Systems]
B[Better Observability]
C[Go]
D[Rust]
E{{High-performance<br/>Concurrent Backends}}
%% Flow
A --> B
B --> C & D
C & D --> E
%% True Neon Palette Styles
classDef nBlue fill:#00f2ff,stroke:#00b7ff,stroke-width:2px,color:#000,font-weight:bold;
classDef nGreen fill:#00ff9f,stroke:#00d986,stroke-width:2px,color:#000,font-weight:bold;
classDef nOrange fill:#ffaa00,stroke:#ff8800,stroke-width:2px,color:#000,font-weight:bold;
classDef nRed fill:#ff3131,stroke:#fff,stroke-width:4px,color:#fff,rx:10,ry:10,font-weight:bold;
class A nBlue;
class B nGreen;
class C,D nOrange;
class E nRed;
- 📧 Email: [email protected]
- 🌐 Business card: https://cr-business-card-single.statichost.page/
- 📄 CV: available on the business site
I prefer concrete problems, clear ownership, and systems that survive contact with reality.