DT/ Dylan Thanushyan

Dylan Thanushyan in an ink-black studio scene lit by deep red light

One continuous cinematic scroll: Dylan in an ink-black studio wrapped in red volumetric light, dissolving into a race car cockpit with a red harness and roll cage, fading to black, and returning in a gallery of red screens.

One engineer, frontier AI / United Kingdom

Dylan Thanushyan

Over 20 years of delivering vehicle programmes. Everything on this page, one person and frontier AI. That is the offer.

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The Shift

One Pair of Hands

The strongest engineers now ship the output of a team. 20+ years inside JLR, Aston Martin, McLaren and NIO taught me what a hard programme needs; frontier AI lets one person deliver it. You are scrolling through the proof. One engineer, surrounded by frontier agents.

Track Record

The Numbers

  • 20+ years
  • 8 countries
  • 40+ vehicle programmes
  • £250M+ delivered
  • 30% average efficiency gain
  • 100+ AI agents, workflows & products developed

Off The Clock

The Driver

A former professional racing driver in the UK and a track-day driver today.

The same discipline runs through every programme: preparation, precision, and pace, in that order.

Daylight study of the race car cabin: red harness and roll cage against the circuit

Capabilities

Where Programmes Get Won

  1. AI Transformation

    Lead practice

    Most automotive AI stalls at the demo. The practice here is the unglamorous rest of it: data foundations, toolchain, validation, and delivery into engineering workflows.

    The working example is the page you are on: agentic code, AI-augmented film, automated acceptance tests, one pair of hands. Automotive first; the same practice travels to motorsport, defence, and hard-tech.

  2. Full Vehicle Engineering

    Every system, one view: concept to sign-off across body, chassis, powertrain, electrical, and software.

  3. Programme Leadership

    The operating model, the team, and the cadence that make hard programmes land on time.

One silhouetted engineer before a vast wall of glowing agent-team constellations
AI that ships in the vehicle, not the deck. Strategy, toolchain, and the delivery muscle that puts models into engineering workflows and vehicles, under one hand.
A vehicle in side profile, half finished bodywork and half glowing red engineering wireframe
Vehicles fail in the seams between domains. A full-vehicle view keeps body, chassis, powertrain, electrical, and software honest with each other from concept through sign-off.
One figure on a high gantry overlooking a night assembly line of red status beacons
Programmes are won by operating rhythm, not heroics. Cadence, decision rights, supplier alignment, and a team that knows exactly what done means.

Track Record

Selected Work

  • JLR

    Platform chassis for F-Pace, Velar, XE, XF. Ultra-light chassis for the first electric Jaguar, the I-Pace: 27 critical launch issues closed at Magna Steyr.

  • Aston Martin

    Chassis lead on the DBX, Aston's first SUV. £1.2M saved through 80% parts re-use on the EV variant, development 25% faster.

  • McLaren

    Production engineering at supercar quality: +22% efficiency, -30% rework.

  • NIO

    Principal, chassis and chassis electronics, Shanghai. EE architecture for autonomous driving and fully active suspension; 12% cost down.

  • Luxury armoured-vehicle programme for heads of state, delivered

    Concept to implementation under military and export controls. Integration cycle cut 30%.

Sleek electric performance SUV with a falling coupe roofline and full-width light bar under deep red rim light
Unbranded luxury performance SUV, rear three-quarter, carbon details in red edge light
Bare carbon-fibre supercar monocoque on an assembly stand under red production lighting
Electric vehicle rolling chassis with exposed battery platform in a red-lit development lab
Blacked-out armoured luxury SUV emerging from shadow, edges catching dark red light

Credits

Every Role, One Name

Direction, engineering, deployment
Dylan Thanushyan
Film
AI-augmented production, frame-scrubbed in canvas
Code
Agentic pipeline, acceptance-tested on every deploy
Performance
Google Lighthouse 100, a perfect score
Crew
One

First Engagement

One Week. One Workflow.

A fixed-scope engagement: one week inside your problem, one working AI workflow shipped and proven, a plan you keep either way.

Small first. The rest is earned.

Every frame and every line of code on this page: one engineer, frontier AI.

Contact

This Was the Demo

One person made what you just scrolled through. Bring one problem to a free 30-minute consultation and leave with a plan to make it real. Replies within one working day.

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