Remy Vearil

Mechanical engineer working on AI infrastructure and energy.

Design technology intern at Edged Energy, where I lead product for design visualization. M.Eng. in Mechanical Engineering (Energy) at Cornell, graduating December 2026.

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Remy Vearil walking through a botanical conservatory

Now

Getting Edged's Omniverse platform ready for the OCP Global Summit
Finishing my thesis on data center waste heat
Launching a data center innovation community at Cornell

A belief, and an open invitation

Let's make engineering sexy.

Engineering shapes almost everything we touch, and almost nobody sees it. I want to change how it's built, shown, and talked about. If you think so too, let's build that together.

Selected workFig. 01 · evidence

What I've been building

Wind CFD · placeholder render118 MW

Edged Energy · Design Technology & Generative Systems Intern · Jun 2026 – present

Seeing a 118 MW data center before it's built

Edged, an Endeavour company, develops waterless-cooled, AI-ready data centers. I lead product for the design visualization side of an NVIDIA Omniverse platform that lets sales, design, land, and test engineering teams explore campus designs before construction.

I gathered what each team needed and built a pipeline that takes existing architectural models from Revit and converts them into a useful visualization in Omniverse that can integrate CFD data and live telemetry. I build features in Python and C++, and I'm also integrating AI workflows into the platform, like an agentic workflow for visualization.

Days → minutesfor layout decisions, using fitting algorithms

~1 hr → <10 minper CFD run

Oct 2026launching at the OCP Global Summit

Product managementPythonC++NVIDIA OmniverseOpenUSDOpenFOAMPhysics-informed ML

Fig. 02 · heat pathΔt · seasonal

Data centerwaste heat

Heat recoverycapture

Storagebuffer

Greenhousegrow

M.Eng. thesis · Cornell · Advisor: Prof. Lindsay Anderson

Heating greenhouses with data center waste heat

Almost all the power a data center uses ends up as heat, and most of it is thrown away. My thesis asks whether that heat can keep a nearby greenhouse warm year-round.

I’m modeling heat generation, recovery, storage, and delivery in MATLAB across four cooling scenarios, and using machine learning to generate predictive seasonal schedules that match greenhouse heating demand to data center operations.

0%of winter heating demand covered in preliminary results

MATLABMachine learningEnergy systems

Innovation Collaborative · Cornell Engineering · Team leader · Spring 2026

Finding the market for a faculty-built microscope

I led our team's analysis of the market opportunity and commercialization path for a two-photon fluorescence microscope developed by Cornell faculty. We pitched our recommendations to a judging panel and won.

Market analysisCommercializationPitching

Foundations

Prior work

Where the engineering instinct was built: HVAC, energy, and building performance.

Affiliated Engineers · Mechanical Engineering Intern · Jun – Aug 2025

Supporting UC Davis's move from steam to hot water

I supported HVAC design and layout in Revit and AutoCAD for campus and lab facilities. That included designing lab bench ports for Genentech around the needs of the technicians and researchers who use them, and supporting UC Davis's Big Shift project, which is replacing campus steam heating with a hot water heat recovery and storage system. I also simulated thermal loads in IES VE to optimize mechanical designs to ASHRAE and LEED standards.

Outside the design work, I led a five-session initiative to explain each engineering discipline to other groups, including a mechanical engineering lunch-and-learn for around 40 engineers and non-engineers.

$0MUC Davis Big Shift conversion

HVAC designRevitAutoCADIES VETechnical presentations

Altanova · Building Performance Intern · Jun – Aug 2024

Cutting energy use in multifamily high-rises

Altanova is an energy and sustainability consulting firm. I audited four multifamily high-rises, taking field measurements and running boiler tests, and found changes to water fixtures, windows, and lighting fixtures and schedules that achieved more than 20% energy savings.

I also benchmarked energy use for carbon profiles and regulatory compliance and supported building commissioning.

>0%energy savings

0high-rises audited

Energy auditingBenchmarkingCommissioning

Earlier work

More projects

Landscaping operations app

Side project · Next.js / TypeScript

Built and launched a Next.js and TypeScript web app that a family landscaping business uses daily to track clients, jobs, crew locations, and tasks. Crews attach required job photos that show progress and flag what's ready to bill.

Apple Rehabilitation

Data Systems Engineering Intern · 2023–24

Built and rolled out a Smartsheet bed-tracking system with automated workflows, a custom API, and live occupancy and turnover reporting, used by the administrators of all 21 of the company's nursing homes.

Hydropower Collegiate Competition & SEA Lab

Cornell · 2022–2023

Owned the brine-stream mixing design for an integrated pumped hydro reverse osmosis (IPHROS) system, simulated in ANSYS. Headed our team's outreach and presented our work to the U.S. DOE Water Power Technologies Office and industry. We competed at the 2023 competition in Washington, D.C.

About

Why infrastructure

I grew up on a farm and spent five years working at the farm stand at Rosedale Farm and Vineyard, working my way up to leading a staff of 20+. Growing up that close to the land is a big part of why I care about infrastructure that works for people and the environment at the same time.

That's what pulled me from HVAC design and energy audits toward AI infrastructure. AI runs on data centers, and data centers run on a lot of energy. I want to help design them well and build the tools that make that easier.

At Cornell, I'm launching a data center innovation community, including a summit in October 2026. I studied Mechanical Engineering with a Dyson Business Minor, graduating magna cum laude.

Why product

At Edged, the main challenge in building the platform was reconciling what sales, design, land, and test engineering each needed from the same tool. I worked across those teams, with CS experts, designers, and engineers, to turn competing requirements into one product and make the case to leadership to keep investing. I want to keep doing that work: start from the user, validate with real analysis, and ship.