Software automation & AI

Less manual work.
More control.

I combine Python, integrations and AI to reduce manual work and move from idea to production more efficiently. Over 15 years of engineering experience.

Let’s talk about your project ↗Explore my experience ↓

Python / AI / AutomationFrom process to production

Experience from projects for

Selected professional experience. Intel and Cisco: work delivered on projects for these companies.

Experience

From device testing
to production systems.

Selected work across electronics, networking and enterprise storage.

Go to services

Graphite glass and metal modules connected by an amber signal

01 / 0401 — Signal and validation

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Samsung Electronics

First: a reliable signal.

I automated voice-recognition tests across phones, Smart TVs and home appliances, from command playback to comparison of the result.

Projects for Intel and Cisco

Then: connected systems.

I built a Python framework for Intel SmartNIC and DPDK validation. For Cisco, I developed gNMI, gRPC and OpenConfig telemetry automation.

Dell Technologies · Principal

Next: production readiness.

I design Data Path I/O test infrastructure using Python/PyTest, NVMe-oF, SPDK and CI, including failure and recovery scenarios.

Dell Technologies · working methods

A shared specification for people and AI.

I introduced Markdown specifications as a shared reference for implementation by engineers and with AI assistance.

Services

From discovery
to delivery.

Start with the bottleneck in your team’s work. We define the scope around your existing tools and the result you need.

Automation audit

I assess which tasks are worth automating, how systems depend on each other and what implementation may cost.

You receive priorities and a recommendation: build, integrate or buy.

Process automation

I automate reports, document workflows and data transfers between stages of work.

Outcome: a process that runs on agreed rules and flags exceptions.

Integrations & Python tools

I build API connections and tools for tasks that off-the-shelf software does not cover.

The scope includes error handling and documentation for maintenance.

Testing & delivery · QA / CI/CD

I create automated tests and integrate them into the software build and release process.

The team receives feedback on failures before deploying a change.

Engineering teams

I define the roles needed, assess candidates’ technical skills and support onboarding.

Outcome: clear responsibilities and a plan for starting work.

AI in practice

Faster to a solution.
In control of the result.

Two uses: AI within your business process, and AI to support software development. Both require the output to be checked.

Specification
AI + Python
Tests and review
Production

Automating everyday work

Documents, tickets and reports: a model extracts information or drafts an output, while Python and APIs route it to the right system.

More efficient software delivery

I use AI for prototyping, implementation and test preparation against an agreed specification. I review the code and architectural decisions.

Controlled production rollout

I define acceptance criteria and check incorrect outputs and exceptions. We agree on monitoring, costs and the points that need human approval.

When explicit rules are enough, I use conventional code. I choose AI models for tasks that require interpreting content.

How I work

Validate first.
Then deploy.

I lead the project and own the technical decisions. I handle smaller engagements myself; for larger ones, we build a team around the scope.

Scope

We agree on the problem, acceptance criteria, budget and data access.

Pilot

We test the key assumption on a small sample, giving you evidence for the next investment decision.

Rollout

We launch the solution, verify it in the target environment and hand over documentation.

Maintenance

We agree who responds to failures, how to monitor the system and which changes take priority.

About me

An engineer on the
other end of the call.

Jarek Trepkowski

Principal Software Engineer

I’m Jarek. Before proposing a solution, I want to understand who will use it and what gets in their way today.

You speak directly with the person analysing the problem and writing the code. I explain technical trade-offs, identify constraints and help decide what to tackle now and what can wait.

LinkedIn ↗︎GitHub ↗︎

Let’s start a conversation

Which process
takes up too much
of your time?

Tell me what you do manually today, which tools you use and what you would like to improve.

Less manual work.More control.

From device testingto production systems.