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
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.
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.
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 °CMeasured payload temperatureEnd of usable hold
Measured hold profile at 30 °C ambient. The chart follows the tier selected above.
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.
Recharge turnaround before and after the geometry change, and the insulation comparison that set the envelope
Results against target
Recognition
The Earth Prize 2025, Asia Winner. Top 7 of 15,000 participants globally, with a $12,500 development grant.
Conrad Challenge Innovator, top 15% worldwide.
Indian patent application filed on the cooling method. DPIIT recognised startup.
Keynote at the Nasscom Design and Engineering Summit 2025, and speaker at TEDxGateway.
Expression of interest from a leading Indian vaccine manufacturer for pilot evaluation.
Featured in over 50 international media outlets, including Business Insider and Fox News.
Nominated for the Pradhan Mantri Rashtriya Bal Puraskar.
What I took from it
The binding constraint was never the physics. Both earlier architectures cooled correctly and lost on the workflow around them, which is the part a simulation does not show you.
The cost ceiling shaped the engineering as much as the thermodynamics did. The insulation decision is a price decision first.
Learning what belongs in a patent application and what stays out of it. The disclosure boundary is an early design decision, not a late one.
Research closes when the tests stop changing the design, not when the ideas run out.
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, checked against regulation T3.4
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.
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.
Drag force on Tempest across iterations
Flow uniformity, same iteration set
Race time prediction model
Von Mises stress on the wheel
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.
Before the tilt
After the tilt
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.
Wake before the extrusions
Wake after the extrusions
The teeth, modelled around the canister aperture
Results against target
Recognition
Nationals: Most Sustainable Team, Top 20 overall, Top 5 knockout time, fastest reaction race car time.
Regional Champions, with the highest scores in Design and Engineering Portfolio, Verbal Presentation, Car Engineering, and fastest average race time at 1.13 seconds.
Raised over $2,000 in sponsorship and managed the full team budget.
What I took from it
Where simulation accuracy has to give way to manufacturability, and how to tell which side of that line a decision falls on.
How to treat a missed target as a design input. The rear extrusions exist because the wake could not be removed.
Closing the loop between aerodynamic theory and physical wind tunnel testing, rather than trusting either alone.
Leading as team principal meant blending engineering judgement with sponsorship, budget and people.
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.
Persona definitions: energy analyst and maintenance supervisor
What shipped
Data cleaning and validation covering unit consistency, schema fixes and timestamp alignment
Forecasting models, Prophet, XGBoost and regression, integrated with a weather API
Anomaly detection using isolation forests over SCADA logs
Plain language generated summaries for ESG and compliance reporting
Zapier automation for alerts and workflow triggers
System flow from upload to generated output
Landing and upload
Forecasting module
Efficiency anomaly detector
Outcome
Selected in the top 15% globally for the Harvard Undergraduate Ventures TECH Summer Program
Prototype validated against all three target personas: analyst, operations and compliance
Direct feedback from the founder of Rayfeild Systems on the tool's potential for real deployment
Completed 30 expert led sessions on venture capital, product strategy and market analysis
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
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
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
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.
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.
Team management, budget ownership, sponsorship acquisition, commercialisation, IP filing.
Team principal, Earth Prize Asia
Other
Full 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.