“But I don’t want to go among mad people," Alice remarked.
"Oh, you can’t help that," said the Cat: "we’re all mad here."
— Lewis Carroll, Alice’s Adventures in Wonderland
-
📝 Personal blog on Medium – DevOps, thoughts, and grinning metaphors
-
🪖 My military belt of certifications (LinkedIn) — AWS, Terraform, Kubernetes — battle-tested and badge-approved.
🏹 AWS: SAA, SA Pro, Security, Developer, SysAdmin, Machine Learning Engineer, Data Engineer
🛠 Terraform: Associate, Authoring & Operations Pro
☸️ Kubernetes: CKA, CKAD, CKS
-
🐍 Python Data Science Engineer
Teaching machines to see patterns where others see noise. -
⚙️ DevOps
Turning chaos into pipelines and systems into something almost predictable.
-
🧠 Fields Institute 2023: Detecting Anomalies in Cryptocurrency Networks
A dive into detecting weirdness in crypto using graphs and a bit of elegant math. -
🤯 DevOps Days Madrid 2023
On failing, learning, and real-world DevOps practices. -
📦 HashiTalks 2024 – Scaling IaC
Best practices in organizing Terraform code and workspaces. -
🔐 HashiTalks 2025 – Scaling Secrets Management with Vault
Zero-trust approach, best practices & a live demo. -
💂🏼♀️ DevOps Days London 2025
Postmortems without blame: Running real, transformative incident reviews. -
⚙️ SysOps/DevOps Meetup 2026
Multi-tenancy without a pain. Tenant Management from the onboarding to observability (in Polish).
-
🧠 Google Summer of Code 2024 – The Julia Language
- Added distributed data parallel training to
Flux.jl - Contributed large graph training support to
GraphNeuralNetworks.jl
- Added distributed data parallel training to
-
🐳 Kubernetes Blog – Multi-Container Pods Overview
A deep dive into multi-container pod patterns. -
🐳 Kubernetes Blog – Start Sidecars First
How to avoid snags.
-
🚗 Statistical Review - Clustering problem in self-organising communication networks on the example of smart vehicle transportation system
Cars that talk, clusters that emerge, and order sneaking out of chaos (co-authored). -
🧬 PLOS ONE Publication - Detecting Anomalies in Graph Networks
PhD research on patterns, anomalies, and a bit of mathematical madness. -
🕸️ Journal of Complex Networks - Unsupervised Framework for Evaluating Structural Node Embeddings of Graphs
A framework for judging embeddings by how well they preserve the hidden geometry of networks (co-authored). -
🧩 Journal of Big Data - Detecting bots in social-networks using node and structural embeddings
Not all users are human - some just pretend better than others. A graph-based approach to spotting bots by the patterns they can’t quite fake (co-authored).
“If you don’t know where you are going, any road can take you there.”
— Lewis Carroll
Sometimes the path through code, systems, and careers gets... oddly shaped.
I help navigate - through graphs, pipelines, and the quiet chaos in between.
I'm occassionally taking a small group of mentees. Interested? Contact below.
“Would you tell me, please, which way I ought to go from here?”
"That depends a good deal on where you want to get to."
— Lewis Carroll
DMs open ( LinkedIn ). Or just follow the grin.