∇About
About
I am Wolfram Helwig, a physicist who builds AI harnesses. Alpentropy is my company.
§1The longer story
I’m Wolfram. I have been writing code since I was a kid, and I am a physicist by training. My PhD at the University of Toronto was about entanglement: which multipartite quantum states can be turned into which, in Hilbert spaces with far more dimensions than intuition can handle.
Game theory came next. Strategic problems under imperfect information are usually far too large to solve exactly, so you build an abstraction, compute its equilibria and carry the insight back to the full problem. Simplify, solve, generalise: that pattern has run through everything since.
From there: algorithm development and consulting in the automotive industry, then cloud and machine learning on AWS and Azure, and since 2023 a large-scale test automation programme in insurance. Along the way, AI coding agents went from curiosity to the way I work: agents in parallel, each in its own working copy, every result checked independently.
Alpentropy is the company that grew out of this. The name puts my two constants into one word: mountains and entropy.
§2Why “Alpentropy”
Entropy measures how many microscopic arrangements look the same from the outside. Mountains are what you get when energy pushes back against entropy for long enough, with erosion slowly collecting the debt. Good software works the same way: structure is never free, so spend the energy where it counts.
▲Off the keyboard
Off the keyboard I am usually on foot in the mountains: hikes and mountain tours. Canada and South America are in my heart as much as the Alps. It is also where the thinking happens that does not fit on a screen.
§3Track record
As in the CV: industries and roles, no client names.
- 2023 – nowSenior Software EngineerInsuranceGreen-field Python architecture for a large-scale test automation project: Robot Framework keyword libraries, data access layer, Jenkins pipelines and an internal FastAPI reporting tool.
- 2022 – 2023Senior Backend EngineerSmart mobilityServerless backend on AWS Lambda processing Kinesis streaming data, React front end, infrastructure as code with Terraform.
- 2021 – 2022Python Cloud DeveloperE-commerceServerless, API-driven data management on AWS, including a containerised BERT-based NLP model for text classification.
- 2021Coach, machine learning & deep learningAutomotiveInteractive course on classical machine learning with Python and scikit-learn, plus a deep-learning module with TensorFlow: CNNs, RNNs, Transformers.
- 2019 – 2021AI & cloud engineeringOwn projectsGame theory and deep reinforcement learning for imperfect-information scenarios, computer vision and NLP, distributed ML on Azure and Databricks.
- 2017 – 2019Algorithm developer & IT consultantAutomotiveSimulation of milling processes from 3D CAD data, distance-field optimisation, big-data architecture consulting, test-quality tooling.
- 2014 – 2016Quantitative strategiesOwn project: game theoryAbstractions for computationally unsolvable strategic scenarios under imperfect information, Nash equilibria over those abstractions, applied under real-time conditions.
- 2009 – 2013Research & teaching assistantUniversity of Toronto · PhD in PhysicsMultipartite entangled quantum states in high-dimensional Hilbert spaces; existence conditions for maximally entangled states in multi-party settings.
- 2006 – 2009Research & teaching assistantUniversity of Erlangen-Nuremberg · Diploma in PhysicsMulti-mode effects on the security of quantum cryptographic protocols, numerically and theoretically, with C++ simulations.
Certifications
- Microsoft Certified: Azure Data Scientist Associate
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure Fundamentals
- EXIN Agile Scrum Foundation