Ten years of backend engineering, most of it in Go. Ad exchanges bidding in milliseconds, carrier messages turning into delivery statuses, hospital imaging routed to AI vendors. Different industries, same problem underneath — make two systems that know nothing about each other behave like one.
01 — Focus
Event-driven microservices built with DDD and CQRS, designed to survive partial failure rather than pretend it won't happen. Ten from scratch at Kramp, twenty at Agathsya, all provisioned as code. I reach for Go because boring is exactly what you want at 3am.
FHIR R4B, XDS, DICOMweb and mCSD, specifically in the Dutch landscape — where the standard is only half the problem and the vendors are the other half. Right now that means moving imaging studies between hospitals and AI vendors.
A Kotlin service rewritten in Go for a 50%+ throughput gain. An ad-serving backend taken from 12k to 20k requests per second while infrastructure cost fell about 40%. The win is almost always in the architecture, not the micro-optimisation.
02 — Experience
Nov 2025 — Present
Amsterdam, NL
Healthcare interoperability for the Dutch market. I reworked the architecture of AI Hub — the platform that routes hospital imaging studies to third-party AI vendors — and led it through to the final demo.
May 2022 — Oct 2025
Utrecht, NL
Three and a half years on a Go microservices platform behind agricultural parts distribution across Europe. Shipping, product lifecycle, translations, notifications — mostly the services other teams end up depending on.
Apr 2021 — Feb 2022
Bengaluru, IN
Led the team that shipped the MVP of a truck aggregation platform for the Dubai market — matching consignors and consignees into trips, modelled as a graph because the relationships were the product.
May 2016 — Mar 2021
Goa, IN
Five years in adtech, which is a good place to learn latency. I built the traffic backend and then the exchange that bid on it.
Education St. Xavier's College — BSc Computer Science, 2011–2015 · Goa, IN
03 — Selected work
01
Imaging studies, routed to AI vendors
Takes a hospital's imaging study, streams it over DICOMweb, enriches it with FHIR patient data, hands it to a third-party AI vendor and notifies everyone involved when the result comes back. Orchestrated with Temporal, so a half-finished study is never a lost study.
02
OpenRTB 2.5, end to end
A real-time bidding exchange and SSP ad server built to the IAB OpenRTB 2.5 spec, plus the Android SDK publishers used to plug into it. Auctions settle inside a time budget no human ever notices.
03
The service everyone else depended on
Go services on GCP modelling where a product sits in its life — introduced, active, phasing out, gone. Unglamorous, and load-bearing for every other team's roadmap that year.
04
Trucks, trips and a graph database
MVP of a truck aggregation platform for the Dubai market. Consignors and consignees on one side, available capacity on the other, trip generation in between — modelled in Dgraph.
05
Kotlin out, Go in
A rewrite rather than a rescue. Same contract, same behaviour, 50%+ more throughput and a latency profile that stopped turning up in incident reviews.
04 — Stack
05 — Contact
Interested in Go, distributed systems and healthcare interoperability — especially anything in the Dutch or wider European interop landscape. Also happy to talk adtech latency tricks with anyone who will still listen.