Dhruv Chaudhary

I design things, then measure whether they actually worked.

I am a first year mechanical engineering student at the University of Illinois, working toward motorsport design. Alongside that I co-founded Thermavault, a refrigeration unit that holds vaccines cold with no electricity, now in pilot manufacturing.

Discipline
BS Mechanical Engineering, University of Illinois Urbana-Champaign
Graduating
May 2030
Based
Champaign, Illinois. From Indore, India
Working on
Thermavault, Illini Electric Motorsports
Aiming at
Motorsport design and thermal systems
Side elevation engineering drawing of the STEM Racing car with dimensions
Four years of building things and finding out where they fail
7 / 15,000
Earth Prize 2025, Asia Winner, awarded to Thermavault
70+ hours
Payload held between 2 and 8 °C at 30 °C ambient, with no power
$12,500
Development grant secured for the build
120
Pilot units currently in manufacturing for field testing
7+
Full vehicle iterations designed, machined and raced
0.20 N
Drag force on the final car, at the 50.5 g regulation minimum

How every project on this page ran

The same loop each time. State the target as a number before touching CAD. Simulate it, then check the simulation against a physical test. Design for the process that will actually make the part. Treat every missed target as the next design input rather than a failure to hide.

That last part is why each project below ends with a table that marks objectives as met or missed, in public. The misses are usually where the interesting engineering is.

Thermavault

October 2024 to present

Co-founder and lead engineer. Electricity-free refrigeration for the vaccine and medical cold chain.

The problem

Vaccines and temperature sensitive medicine have to stay between 2 and 8 °C. The stretch of the cold chain where that fails is the one running on unreliable mains power.

Both field workarounds fail in their own way. A compressor needs power that is not there. Ice packs sit below the window and freeze the payload instead of protecting it.

The hypothesis

An ionochaloric endothermic reaction, buffered by a phase change medium, can hold 2 to 8 °C with no compressor, no power and no consumable refrigerant.

I own product engineering, CAD, simulation, the bill of materials and IP strategy. My co-founder Mridul Jain owns chemistry, testing and the regeneration protocol.

Rendered view of the Thermavault long haul refrigeration unit, a metal box with two latches
Thermavault, the long haul unit

How the system works

The payload sits inside a sealed cavity wrapped in removable cooling cartridges, a structural shell and a vacuum insulation layer. The cartridges are charged outside the unit in a reusable salt bath, installed, and then carry the payload passively for the length of the run. Nothing is plugged in and nothing is thrown away. The salts are recovered and returned to the bath, so water is the only consumable per cycle.

Diagram of the layer architecture, from payload cavity out through cooling cartridges, inner shell, vacuum insulation and outer shell, alongside the four stage operating cycle
Layer architecture and the charge to recover operating cycle

What the tests measured

Testing ran in stages: chemistry first, then the cooling medium at full volume, then the integrated unit. The final series closed in June 2026 with the integrated prototype holding the payload cavity inside the 2 to 8 °C window for more than 70 hours at 30 °C ambient, comfortably past the design duration.

Two products, one platform

A single envelope could not carry a three day hold and still stay light enough for a delivery rider, so the platform was split rather than compromised. Both tiers share the same reaction chemistry and the same reusable recharge model. Switch between them below.

Use case
Payload window
Hold time at 30 °C ambient
Cooling medium
Insulation
Recharge
Status
WHO cold chain window, 2 to 8 °C Measured payload temperature End of usable hold
Measured hold profile at 30 °C ambient. The chart follows the tier selected above.
Rendered view of the smaller Thermavault Lite unit
Thermavault Lite, sized for last mile delivery and field clinics

Three design decisions that mattered

The architecture that survived is the third one. The first put the cooling medium in a fixed jacket around the payload. It hit the temperature target and lost on the workflow around it: recharging the whole unit took most of a working day, which is time no clinic or logistics operator will absorb. The medium moved out into sealed cartridges that are removed, charged outside the box and reinstalled.

The second was internal geometry. Recharge time scales with the square of the conduction path, so shortening that path was worth more than any change to the chemistry. Turnaround fell by roughly an order of magnitude with no loss of hold time, at the cost of some added mass.

The third was insulation. Vacuum panels beat foam by around ten times per unit thickness, but they cannot be trimmed without destroying the panel, so they are ordered at final size. That decision locked the outer dimensions of the product before anything else was fixed.

Bar chart showing recharge time falling from 9.5 hours to 1 hour after the geometry change, beside a chart comparing thermal conductivity of still air, rigid PU foam, closed cell nitrile foam and vacuum insulation panels
Recharge turnaround before and after the geometry change, and the insulation comparison that set the envelope

Results against target

Recognition

What I took from it

STEM Racing

July 2024 to August 2025

Team principal and chief design engineer, Maverick Motorsports, STEM Racing India, formerly F1 in Schools.

I owned the aerodynamic design and manufacture of a CO2 powered scale race car built to a locked regulation set, while running the team budget, sponsorship and delivery across engineering, marketing and operations to a fixed competition deadline.

Design targets

  • Race time of 1.1 to 1.3 seconds over a 25 m track
  • Mass at the 50 g regulation minimum
  • Full compliance with the competition regulation set

Computer aided design

  • Fusion 360 and SolidWorks, iterative modelling across seven full vehicle revisions
  • Lofts, sweeps, shelling, assemblies and tolerance checks
  • Zebra and curvature analysis to confirm manufacturability before committing to stock
Front elevation drawing of the car showing the 65 mm regulation minimum total width and 50 mm height
Front elevation, checked against regulation T3.4
Technical drawing of the wheel and axle assembly with dimensions and a section detail
Wheel and axle detail from the drawing set

Four prototypes, compared

Every revision was measured on the same five numbers. Pick one to see where it won and where it paid for it.

Rendered view of the selected prototype car

Tempest

Amber marks the best value in the set for that metric. Bar length is scaled across the range of the four cars, not from zero.

Simulation and race time prediction

Drag force, flow uniformity and pressure drop were tracked across simulation iterations in Ansys Discovery and SimScale, alongside deformation, Von Mises stress and shear elastic strain. An Euler integration model converted drag coefficient into a predicted race time, which is what made the aerodynamic trade offs comparable to each other.

Line chart of drag force against simulation iteration, trending downward
Drag force on Tempest across iterations
Line chart of flow uniformity against simulation iteration, trending upward
Flow uniformity, same iteration set
Straight line chart of race time against drag coefficient
Race time prediction model
Colour mapped Von Mises stress simulation of a wheel
Von Mises stress on the wheel
CAM software view showing toolpaths around the car body inside a stock block
CAM toolpath validation before cutting

First innovation: tilted sidepods

The idea came from full scale Formula 1, specifically the shallow sidepod dip used to stabilise airflow. The tilt guides air outward and rearward, reducing pressure buildup, keeping flow attached and uniform, and improving the efficiency of the central tunnel and diffuser while easing the transition into the rear wing.

CFD showed a clear improvement in the uniformity of airflow coming off the front wheels once the tilt was applied. The gain was largest immediately behind the front wheel, which is where the wake is dirtiest and where the diffuser has the least tolerance for disturbed flow.

The constraint turned out to be manufacturing rather than aerodynamics. A steeper tilt performed better in simulation but produced an overhang that could not be machined cleanly in a single setup, and would have needed manual finishing on every unit. The geometry carried forward is the steepest angle that still came off the machine to tolerance. That is a trade made in favour of repeatability across seven builds rather than a single best lap.

CFD velocity field around the car before the sidepod change
Before the tilt
CFD velocity field around the car after the sidepod change
After the tilt
Close up render of the tilted sidepod surface
The sidepod geometry that survived the manufacturing constraint

Second innovation: rear extrusions

Small pyramidal extrusions sit near the tail of the car, surrounding the pressurised CO2 canister. The team called them the teeth. The inspiration came from a land speed record car that used a similar surface treatment to manage its wake.

The teeth manage the negative pressure drag generated behind the car. Normally the turbulent wake left behind is uncontrolled and creates a low pressure zone that works against the car. The extrusions convert that turbulence into organised eddies and vortices which turn back into the body, recovering part of the loss as forward propulsion. A penalty was turned into a small gain.

CFD view of the turbulent wake behind the car before the extrusions
Wake before the extrusions
CFD view of the wake behind the car after the extrusions, showing organised vortices
Wake after the extrusions
Render of the ring of pyramidal extrusions around the canister opening
The teeth, modelled around the canister aperture

Results against target

Recognition

What I took from it

Energy automation

June to July 2025

Process automation intern, Rayfeild Systems, via the Harvard Undergraduate Ventures TECH Summer Program.

The brief was an AI assisted automation platform for renewable energy workflows, covering anomaly detection, forecasting and plain language reporting for the solar and wind sector.

Who it was built for

Before writing anything I mapped two personas with opposing needs, one technical and one operational. Every feature decision after that traced back to a documented pain point rather than an assumption. An energy analyst in Bangalore fighting scattered data across Excel, SCADA and reports. A maintenance supervisor in Texas drowning in irrelevant alerts with field teams who had no mobile access to live data.

Two persona cards describing an energy analyst and a maintenance supervisor with their roles, goals and pain points
Persona definitions: energy analyst and maintenance supervisor

What shipped

Flow diagram from CSV upload through data cleaning to forecasting, energy summary, anomaly detection and grouping
System flow from upload to generated output
Screenshot of the EnergyAI landing and upload interface
Landing and upload
Screenshot of the forecasting module showing a forecast plot
Forecasting module
Screenshot of the anomaly detector chart flagging an efficiency outlier
Efficiency anomaly detector

Outcome

The clearest lesson: designing for a non technical persona is a harder constraint than designing for a technical one, and it changes the product rather than just the interface.

Applied research

2022 to 2024

Three school research projects, each carried through to a tested prototype with a measurable outcome.

STUBBurn

Reduce stubble burning and the carbon emissions that follow from it

Schematic of the STUBBurn system showing a biomethanation chamber, combustion chamber, piston and dynamo
Approach
Convert crop residue into biomethane for clean fuel, and into bioplastics as an alternative to conventional plastic.
Result
Generated methane sufficient for lighting, and a bioplastic degrading in roughly 100 days.
Outcome
Best Overall Performance at Sahodaya Bal Vigyan.

Paripoorn

Prevent the carcinogenic reuse of waste cooking oil

Process diagram showing used cooking oil and methanol going through transesterification to biodiesel and glycerine
Approach
Convert used oil into biodiesel and glycerine, then into downstream derivatives including contact lenses and fireproof bricks.
Result
Biodiesel with clean combustion, with glycerine and byproducts extracted successfully.
Outcome
Best Overall Performance at Sahodaya Bal Vigyan.

Vidyutottam

Prevent electrocution from leakage currents in electric poles

Exhibition table with a miniature model of electric poles, wiring and warning signage
Approach
A low cost warning system combining an indicator LED with a fuse triggered mechanical danger sign.
Result
Working prototype. The LED illuminated and the danger sign deployed reliably under simulated leakage.
Outcome
State Level Finalist, CBSE Regional Science Exhibition.
Circuit diagram of the Vidyutottam leakage warning system with numbered components
Vidyutottam circuit. An LED wired in series detects leakage, the fuse melts, and the danger sign drops into view.

Across all three: apply core chemistry, physics and engineering to problems that already exist rather than invented ones, and treat affordability and scalability as design requirements rather than afterthoughts.

Leading and speaking

2022 to 2025

Running programs, conferences and teams, and learning to explain technical work to people who did not ask for the technical version.

Head of Hackathon Challenge, MU20 School of Opportunity

Designed and ran Asia's largest high school hackathon, built around the UN Sustainable Development Goals. Authored the challenge structure, problem statements and judging frameworks from scratch, and coordinated over 3,500 international participants alongside mentors, evaluation and travel logistics. Secured partnerships with Infobeans, Makers Asylum, TiE, NIF Global and Josh Talks.

Head of Technical Affairs, Shishukunj MUN 2024

Owned all technical infrastructure for a conference of over 1,000 delegates. Built the event website, moved registration and allotment online, and cut delegate management overhead by 34%.

Co-founder and organiser, TEDxShishukunj Youth

Ran a nine talk programme end to end: theme development, speaker curation, production logistics and rehearsal schedule. Mentored eight speakers from first draft to stage, across psychological resilience, self identity, financial literacy and the ethics of gene editing.

Competitive debate and Model UN

National Champions at the National Parliamentary Debate run by Vidhigya and The Times of India, nine rounds across eighteen hours on geopolitical issues. Best Debating Team and Best Debater on the opposition at the MU20 Debating Challenge. Outstanding Delegate and later Assistant Director at Harvard MUN India. Chairperson of the UN Security Council at Shishukunj MUN in 2023 and 2024. President of the school public speaking club, mentoring over 200 peers.

National Anveshika Experimental Skill Test

Competed at a national experimental physics competition, designing, testing and explaining physical apparatus under time constraint. Recognised as a Preliminary Experimentalist and advanced to the screening stage.

Chandrayaan-3 documentary

Conceptualised and presented a planetarium style show on the Chandrayaan-3 mission, produced with visuals, narration and interactive explanation. This is where the habit of translating technical material for a general audience started.

Skills

With the work that proves each one
AreaTools and methodsWhere it was used
CAD and designSolidWorks, Fusion 360, CATIA. Assemblies, lofts, sweeps, shelling, tolerance checks, zebra and curvature analysis.CSWP certified
Design for manufactureTolerance stack up, part count reduction, snap and press fits, chamfer and draft strategy, design for minimal post processing.7+ car iterations, Thermavault pilot build
CFD and FEAAnsys Discovery, SimScale, AeroShaper, Fusion 360 FEA. Von Mises stress, deformation, heat flux, flow uniformity.Nationals level validation with wind tunnel correlation
CAM and manufacturingCNC machining and toolpath validation, 3D printing across FDM, SLS and resin, resin casting, composite layup.STEM Racing car manufacturing
MaterialsCarbon fibre, Nylon 12, Ketron PEEK, silicon carbide, PU foam, bioplastics, biofuel.Thermavault, STEM Racing, Bal Vigyan research
Testing and validationWind tunnel testing, thermal cycling trials, FEA stress analysis, race time modelling.Physical and CFD correlation studies
ProgrammingPython for data analysis and automation, MATLAB for physics modelling, Arduino, MySQL.Senior Python Developer certificate
Automation and dataForecasting models, anomaly detection, generated reporting, workflow automation.Harvard Ventures TECH, Rayfeild Systems
Business and leadershipTeam management, budget ownership, sponsorship acquisition, commercialisation, IP filing.Team principal, Earth Prize Asia
OtherFull stack web development, cybersecurity foundations.IBM Full Stack certificate, Detroit Mercy

Education

2015 to 2030
August 2026 to May 2030

University of Illinois Urbana-Champaign

BS Mechanical Engineering. Intended minor in Hoeft Technology and Management. First semester coursework in Computer Aided Design, Statics and Calculus III. Placement: ALEKS 98 out of 100, full marks in the physics and chemistry placement exams. Active in Illini Electric Motorsports, ASME, and Founders.

June 2024

University of Detroit Mercy

Dual enrollment, CS 1010 Foundations of Cybersecurity. GPA 4.0 out of 4.0.

2015 to 2026

The Shishukunj International School, Indore

CBSE high school diploma in physics, chemistry, mathematics, computer science and English. Class XII 90.8%, Class X 96.8%. Full merit scholarship for grades 11 and 12. SAT 1550, with 790 in mathematics and 760 in reading and writing. TOEFL 112. AP scores of 5 in Calculus BC, Physics C Mechanics and Computer Science Principles, and 4 in Physics C Electricity and Magnetism.