Long-form essays from inside the work — payments infrastructure and QR rails, regulated medical software, the data-science habit, a machine-learning playbook, and what product operations really means once the product is live. Written from inside automotive, healthcare and fintech, not from the sidelines.
It started with Java front-ends and stored procedures in the early 2000s — the first quiet touchpoints with the “data” in data science. The real pull came in 2015, simulating active- and passive-safety components at Bosch, then again inside the IP portfolio, where patent analytics turned out to be a big-data problem in disguise.
Key takeaways for product owners — transaction lifecycle, PCI-DSS from day one, why hosted pages and iFrames beat raw APIs for launch, keeping chargebacks under 1%, and deploying UPI-powered omnichannel QR.
ReadWhat counts as Software as a Medical Device — and what doesn’t — plus the risk categorisation, the two standards that govern it, the FDA’s most-cited gaps, and traceability and CAPA habits that travel across regulated industries.
ReadA working checklist from EDA and multicollinearity through outlier and NA treatment, encoding, PCA/LDA feature selection, the 70/20/10 split, model templates for regression and classification, and the metrics that actually matter.
ReadWhat happens after a hardware-plus-software-plus-cloud product ships: warranty and recalls, device and application software, cloud and licence management, SLAs as managed services — and the analytics that turn operations into a revenue stream.
ReadNo newsletter sponsorships, no growth funnels, no “7 lessons from…” lists. Just the essay when there’s something honest to say.