Understand the problem.
Start with the expected behaviour and what actually happens. Look at the inputs, traffic and configuration before choosing a fix.
01 / About me Understand. Build. Improve.
I’m cent. I work with networks, Python and Go, connecting packet-level understanding with practical software.
I enjoy working through the layers of a technical problem: inspecting traffic in Wireshark, tracing a connection issue, or writing code to make a repetitive task easier.
Understand the system.
Work through the details.
02 / Networking & packet analysis
Wireshark, IP networking and a methodical approach to troubleshooting.
I work with packet inspection, addressing, routing and device configuration. I connect what’s happening in the traffic to how the network is configured.
Wireshark · Packet Tracer · SecureCRT
Understand the connection.
Focus on relevant traffic.
Follow the exchange.
Exploring network infrastructure, cybersecurity and digital forensics.
Programming / Automation / Troubleshooting
I build Python and Go tools that connect APIs, browsers and live dashboards.
My work spans Go services with cancellable tasks and streamed status updates, Python monitoring interfaces, and FastAPI endpoints backed by Redis. I focus on how data moves, how state changes and what happens when a request fails.
Request validation, cancellation, retry handling and persistent state. I work with the parts that make an interactive tool predictable when inputs change or a connection drops.
03 / Selected technical work
Go applications. Python services.
Tools with state, interfaces and moving parts.
Project 01 Go application
Go / Local dashboard / Request orchestration
A local control panel for stock monitoring and configurable commerce workflows. It brings product checks, request progress and recorded outcomes into one interface.
Technical focusContext cancellation · Server-sent events · Request validation · Persistent history
Project 02 Python extension
Python / Existing-project customisation
A dashboard and export layer for an existing marketplace monitor. Live logs, editable configuration and listing exports turn background activity into information you can inspect.
Technical focusWebSocket streaming · Bounded queues · Secret masking · Incremental CSV export
Project 03 Backend prototype
Python / FastAPI / Redis / Playwright
A backend prototype that combines ticket records with asynchronous browser tasks. Typed API models define the inputs while separate task IDs let clients follow each browser session.
Technical focusREST endpoints · Redis hashes & expiry · Background event loop · Task status
How I work
Start with the expected behaviour and what actually happens. Look at the inputs, traffic and configuration before choosing a fix.
Separate network issues from application logic. Keep configuration clear, break the task into smaller steps and test each assumption.
Review the output, test the interaction and refine the details. A solution should be understandable as well as useful.
04 / Start a conversation
Networking opportunities, Python and Go projects, and technical collaborations. Tell me what you’re working on.
[email protected] ↗