# Still Mid-Service

> A deferred IAS ambition became a path through engineering, a master's in Germany, and machine learning for physical simulation. The next posting is left deliberately blank — not as an aesthetic gesture but as a factual record that the simulation has not converged. The blog is the working draft of a career, not the final submission.

## Key claims

- The IAS dream is not a road not taken but a persistent background signal — toward public utility over impressiveness.
- Learning in public means showing process, not just validated results — the wrong turns that the clean paper erases.
- The blank next posting is a factual record, not a flourish: a man still mid-service does not present a finished life.

---

When I was growing up in Chennai, the clearest ambition I had was the Indian Administrative Service. Not for the status — though I will not pretend the status did not exist in the air of the household — but for the nature of the work. To be embedded in a district. To be present for the administration of ordinary life: water, land, grievance, infrastructure. The IAS officer was the person who showed up, who knew the file, who had sat through the hard meeting.

My father ran a workshop. He worked beside his workers, not above them. That model was always more compelling to me than the one that watched from a distance.

The exam path diverged. Engineering happened; then a master's in Germany; then the deep pull of a specific kind of problem — how machines can learn to see structure in the data of physical simulation. The IAS did not happen. It was deferred, and then the deferral became the path.

<Callout>
The next posting is blank on this site on purpose. Not as an aesthetic gesture — though it is that too — but as a factual record. The simulation has not converged. A man still mid-service does not present a finished life.
</Callout>

## What Deferral Teaches

There is a failure mode in ambitious people that I have seen close-up: the belief that the path not taken was the real one, and that whatever you are doing is a provisional arrangement before the true work begins. This is a way of not being present in your own career.

I do not know if I escaped this entirely. But I have come to think of the IAS dream not as the road I did not take but as a kind of persistent signal in the background — a orientation toward public utility, toward being useful rather than impressive, toward the long view of institutions rather than the short view of output.

That signal shapes what I work on, even inside machine learning for automotive simulation. Anomaly detection is not glamorous. It does not surface at conferences as often as generative models do. But it has a direct line to a safety outcome: the crash test, the vehicle, the occupant. The dangerous case nobody noticed is a failure of the institution of safety, not just a technical miss. Working on it feels continuous with the instinct that drove the IAS ambition — the instinct to be present where the stakes are real.

## Learning in Public

This site — and these notes in particular — is an exercise in learning in public, which I do not do naturally. I was trained, as most engineers are, to present results rather than process. You put a paper into the world when the method is validated, not when you have an interesting hunch. You submit the thesis when the experiments are done.

<Aside>
There is a cost to this. The interesting thinking — the year of wrong turns before the method crystallises, the half-formed intuition that eventually becomes the architecture choice — disappears. What remains is a clean story that makes the result look more inevitable than it was.
</Aside>

I want these marginalia to capture some of that process: the currently wrong model, the vocabulary problem in mesh generation that is not yet solved, the hunch about geometric attention that might be the next step or might be a dead end. This is the working draft of a career, not the final submission.

## The Blank Posting

The last item in the service record on this site is a placeholder. "The next posting — reserved, blank in the ledger." I added it because a ledger with a clean ending would be a lie. The record so far: a coastal childhood in Tamil Nadu, an engineering degree, a master's at RWTH Aachen, a thesis at Porsche, production work at Kube. That is four postings, each complete, each feeding into the next.

What comes after Darmstadt — I do not know yet. There are possibilities that involve staying inside industrial AI. There are possibilities that involve a pivot toward something that looks more like the public-utility instinct. There are possibilities I cannot see from where I am standing.

The simulation is still running. Iteration by iteration, the weight of each experience accumulating, the direction becoming clearer without the destination being fixed.

That is not a poetic frame I have imposed on the situation. It is the actual situation. The next posting is blank because I have not been posted there yet.

I will write about it when I arrive.