MSc Aerospace Vehicle Design · Newell Prize · Cranfield University

Vikram
Pratap Singh

Mechanical & Aerospace Design Engineer with 8+ years at Honda, Suzuki & Aerotrope, taking products from concept to validated prototype. Today I augment that experience with AI — building tools that automate the repetitive parts of engineering and cut design-cycle workload dramatically.

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Years Engineering

Major Projects

Patents

% Less Manual Work

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About Me

Engineer · Innovator · Award Winner

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Mechanical & Aerospace Design Engineer with 8+ years driving products from concept to validated prototype — from the structural design of the flagpoles at JPMorgan Chase's New York headquarters to Suzuki's first sunroof (leading a team of 5), eVTOL aircraft and cryogenic hydrogen tanks — with an MSc from Cranfield University (Newell Prize, top of cohort) and 2 patents. What sets me apart today is how I work: I build my own AI-assisted tools that automate the slow, repetitive parts of the design cycle, so I deliver more, faster, with the same rigour.

I'm a design and development engineer at heart — CAD, FEA, CFD, GD&T, and the discipline of turning a requirement into a manufacturable, validated product. That's the work I love and the roles I'm targeting in mechanical and aerospace.

What makes me unusually effective is that I build tools to do the tedious work for me. Using AI-assisted development I've created real, working engineering applications that compress tasks which used to take specialists days into jobs anyone can run in minutes — the kind of automation that removes up to 80% of the manual effort from an analysis loop.

The proof is live and hands-on. DFDC Cloud turns a legacy command-line aerodynamics solver into a one-click web tool. CFD Studio puts an early-stage wind-tunnel check in the browser. An employer gets an engineer who not only does the work, but continuously makes the whole team faster.

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Cranfield University, UK

MSc Aerospace Vehicle Design · 82%+ · Newell Prize Winner

Honda · Suzuki · Aerotrope

8+ years automotive BIW & aerospace structural design · led teams of 5

2 Patents Held

Solar e-rickshaw design · Roof rail reinforcement — Maruti Suzuki

Augmented by AI

Builds AI-assisted engineering tools that automate design tasks and cut manual workload by up to 80%

What I Do

Core engineering discipline · sharpened by AI-assisted tooling

Design & CAD

Parametric product design in CATIA V5, Siemens NX & SolidWorks — from automotive BIW structures to full aircraft assemblies

Simulation & Analysis

Structural, modal, fatigue & buckling analysis in ANSYS Workbench; aerodynamics with Fluent, OpenFOAM & XFLR5

Manufacturing & GD&T

Tolerance & stack-up analysis, design for manufacturing, and structural analysis for production-ready parts

AI-Assisted Automation

Builds custom tools with AI that automate meshing, solving & reporting — turning specialist, days-long tasks into minutes

Engineering Projects

Aerospace, automotive & clean-energy work across 8+ years

Aerospace

eVTOL Aircraft

265 kg ultralight electric VTOL for urban air mobility. Modeled in CATIA V5, analyzed with Ansys & NASTRAN.

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Clean Energy

Kitemill Wind Energy

Airborne wind energy system generating 100KW from high-altitude winds using a tethered kite aircraft.

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Patented

Solar E-Trike

India's first solar electric vehicle — patented design, 10,000 km on Delhi roads, 50% mileage increase.

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Engineering, Automated with AI

My edge: I build tools that take the grind out of the design cycle

Aerospace AI-Assisted Build Live

DFDC Cloud — Ducted-Fan Design Tool

Before: DFDC, a specialist aerospace solver, ran only as a 40-year-old command-line program each engineer had to install and wrestle with locally. After: a clean web tool anyone can open in a browser and run in one click — same trusted solver, with an AI assistant to explain inputs and results. Design iterations that meant fighting the toolchain now take minutes.

Try the Live Tool Case Study

Aerodynamics AI-Assisted Build

CFD Studio — Early-Stage Aero in the Browser

Before: an early aerodynamics check meant a CFD specialist, manual meshing and days of case setup. After: upload a 3D model and the tool auto-meshes it, runs an OpenFOAM solve and returns drag/lift numbers with a pressure-mapped 3D view — a first-pass answer in minutes, freeing specialists for the analysis that truly needs them.

Product Page Case Study

Vikram
Pratap Singh