Oxford DPhil in hypersonics, now building Ember — AI to empower workers, not replace them.
My vision 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.
case — my calm, collected, critique!
tars — my coding pal!
rocky — my personal PA to help me manage the operations of my startup. Rocky (the eridian not boxer) is sassy but get the job done. Every morning, Rocky summarises my work, tells me about my upcoming meetings, and does research to help me prep for the work to come. Rocky also flags work or emails I have not gotten around to. We all need a Rocky in our lives!!!
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
I am a PhD student at Oxford working on hypersonic flight and spacecraft reentry. I use AI agents to automate CFD, workflows, and create new engineering methods.
- 📫 Reach me at danny.rajalingam@ember-info.com
- 🔥 Ember is pre-seed. If you work on construction, HSE, or AI, come say hi.