Coding Is Solved. The Hard Part Starts Now.
Coding is, more or less, solved. That is what people closest to the work are saying now, and I think they are broadly right. Some context before I go further. I spent the last few …
ai consultant · oslo, norway
Saurav Pandey
I build the backend systems that AI runs on
also the AI layer that runs on top of it.
Currently at Izy, I maintain the backend behind hundreds of thousands of transactions a month, and the AI layer running on top of it. Demand forecasting and computer vision self-checkout, live across Norwegian commercial buildings.
I find the patterns that make systems scale. Eight years across backend architecture, AI and product, technical product management and Registered Scrum Master. I write about AI ethics and the directions I see this moving.
Backend Engineering • AI Implementation • Product Development
I find the patterns that make systems scale. Eight years across backend architecture, AI and product, technical product management and Registered Scrum Master. I write about AI ethics and the directions I see this moving.
Backend Engineering • AI Implementation • Product Development
Blog
Using AI for recruitment in Norway? Here is how algorithms inherit our biases
AI is changing how companies hire people. It’s happening everywhere, including Norway. Despite Norway’s reputation for equality, NAVIGATE, a research series at UiO …
EU's AI Act 2024: Safeguarding Consumers or Restricting Tech Growth?
In May 2024, the European Union formally adopted new regulations under the Artificial Intelligence Act that sets out rules for how AI can be sold, used and monitored in the EU and …
3 factors that are shaping the future of Norwegian commercial buildings
Over the past two decades, only 1,501 new offices and business buildings have emerged in the Norwegian market. I was surprised to find this number to be so low. In an era of rapid …
What backs this up
Led the team that built AI self-checkout at Izy
Computer vision that recognises a lunch tray and charges for it without a queue, running daily across Norwegian commercial buildings, with demand forecasting for the kitchens alongside it. Most people advising on AI have never had to operate what they recommended at 07:00 on a Monday.
160 hours of formal training in AI ethics
Fairness metrics, causal intervention, governance and deployment, studied and certified through Turing College. Applied to systems that are actually running, not to case studies.
Two peer-reviewed papers
Anomaly-based intrusion detection with machine learning, and a blockchain-powered supply chain published in IJAE. Both peer-reviewed.
EU AI Act, read from inside the Norwegian market
The Act reaches Norway through the EEA, and enforcement is landing now. I write about what it means for Norwegian companies rather than in the abstract.
About Me
I am a backend engineer who moved into AI, based in Oslo. Currently at Izy, maintaining the production backend for a Norwegian workplace platform and building the computer vision and demand forecasting that run on top of it.
Eight years across backend architecture, machine learning and technical product, most of it before the current AI cycle began. Nearly all of it on systems that run every day rather than systems that demo well.
What I care about is the part after the model works. Whether the data holds up, whether the team can operate it, and whether you can explain it to a regulator. That last question is why I studied AI ethics and fairness formally, and why I keep writing about it.
Elsewhere
I take a small number of advisory engagements. That side of things is described on the consulting page.
Otherwise I am reachable by email, and I write here roughly as often as I have something worth saying.
Otherwise I am reachable by email, and I write here roughly as often as I have something worth saying.