Oxford DPhil in hypersonics, now building Ember — AI to augment the physical and human-labor workforce.
My thesis is that the next wave of useful AI for the real world is inverted: the assistant speaks first, without being asked, based on the state of the work in front of the person. The old model — type a question, read a wall of text — does not survive contact with a bricklayer whose hands are covered in mortar or a turbine engineer trying to keep a string line straight. The two pinned repos below are my working proofs of that thesis, each tied to one half of my background.
hypersonic_boundary_layers — a physics-informed neural network toolkit for hypersonic boundary-layer heating, wrapped in a proactive research copilot. A semi-supervised PINN for the Blasius equation with a custom output transform beats a data-only MLP by 4.4× RMSE on the shear profile using only eight sparse samples. Pure-NumPy autograd, no torch dependency, installs in under five seconds. Python · PINNs · Hypersonics · CFD
ember-rocky — the reference implementation of Ember's inverted-UX thesis. A ~90-line event-driven proactive loop with pluggable role triggers that produce different guidance for different people from the same event stream: a novice bricklayer gets a step-by-step brief, the foreman gets a one-sentence crew rollup, the safety officer gets an audit-ready incident line. Runs end-to-end with zero credentials and zero hardware. Python · AI-agents · Voice-first · Construction-tech
I did my doctorate on hypersonic boundary-layer transition and the physics of shock/boundary-layer interaction, which is mostly a story about how to get useful numbers out of a regime where your measurements lie to you and your simulations disagree with themselves. That background is why I think Ember's bet — AI copilots for environments where the user cannot stop, type, or read — is the right shape of problem.
- 📫 Reach me at ramondannyrajalingam@gmail.com
- 🔥 Ember is pre-seed. If you work on construction, warehouse, field-service, or enterprise onboarding problems and want to compare notes, say hi.