San Francisco, California

Dinesh Appavoo

Founder & CEO of Bean and Hypersona

Building transformative technology at the intersection of aerospace and healthcare.

FounderEngineerResearcher
2
Companies (Founder & CEO)
5
Tech Companies (Engineer/Manager)
12+
Years in Tech
2
Research Areas

Current Focus

Developing Full-Flow Staged Combustion rocket engines for point-to-point Earth transportation and creating digital blood twins using AlphaFold 3 for personalized medicine.

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PUBLICATIONS

Patents & Research Papers

Contributing to the body of knowledge in aerospace propulsion and computational healthcare.

Patents

US PATENT APPLICATION

Patent Application No. 20240378581

PUBLICATION NUMBER: US-2024-0378581-A1 • 2024

Method and apparatus for handling of refunds in association with a functionally dynamic card.

View Patent Application →

Current Research Papers

IN PROGRESS
AEROSPACE ENGINEERING

Build a Rocket Engine from Scratch called HyperX: Design of a FFSC Engine from Theory to 3D

A comprehensive guide to designing a Full-Flow Staged Combustion (FFSC) rocket engine from fundamental theory through complete 3D modeling. Covers turbopump architecture, combustion chamber design, nozzle optimization, and thermal management systems.

IN PROGRESS
COMPUTATIONAL BIOLOGY

Digital Blood Twins: Computational Proteomics for Personalized Medicine

Exploring the development of virtual blood models using AlphaFold 3 technology for protein structure prediction. Investigates applications in drug discovery, personalized medicine, and predictive modeling of drug-protein interactions at the molecular level.

Interested in collaboration or have questions about this research?
Get in touch

WRITING

Thoughts & Essays

Exploring the intersection of technology, science, and the future of humanity.

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Companies Founded

Pioneering innovations in rocket propulsion and computational healthcare

Rocket Propulsion

FFSC engine design, turbopump systems, combustion chamber optimization

Computational Biology

AlphaFold 3, protein structure prediction, virtual blood modeling

Machine Learning

Drug discovery, molecular dynamics, predictive modeling

BACKGROUND

The Journey

From engineering at major tech companies to founding ventures at the frontier of science.

Professional Experience

Engineering Manager

Affirm

2020 — 2023

Led the Affirm Card from inception to scale, building the product that would redefine how millions of Americans access credit. Focused on user experience, growth mechanics, and platform reliability.

Software Engineer

Twitter

2016 — 2020

Built core infrastructure for Twitter's timeline, messaging, and authentication systems. Worked on products serving hundreds of millions of daily users.

Software Engineer

Amazon Web Services

2015 — 2016

Launched and scaled AWS Application Load Balancer across multiple regions, building infrastructure that supports millions of machines globally.

Education & Early Ventures

MS in Computer Science

The University of Texas at Dallas

Focused on distributed systems, algorithms, and machine learning foundations.

Founder & CEO, Labineer

2010 — 2011

Built a healthcare equipment marketplace focused on price transparency and quality—a precursor to my current work in healthcare innovation.

Board of Directors, RRRcomputer.org

2020 — 2021

Led strategic initiatives to bridge the digital divide through technology access programs and community partnerships.

FULL RESUME

View Complete CV

View my complete professional history, technical skills, and detailed project descriptions.

For applications, use this link:

https://dineshappavoo.com/resume-dinesh-appavoo.pdf

RESEARCH & DEVELOPMENT

Deep Technical Work

Exploring the boundaries of aerospace engineering and computational biology.

AEROSPACE ENGINEERING

Full-Flow Staged Combustion Engine

Advanced propulsion research inspired by SpaceX Raptor 3

The Full-Flow Staged Combustion (FFSC) cycle represents the pinnacle of rocket engine design—a configuration that extracts maximum performance from every drop of propellant. Unlike traditional engines that waste energy, FFSC systems route all propellant through turbines before combustion, achieving unprecedented efficiency.

"The FFSC cycle isn't just incrementally better—it's fundamentally different, enabling performance metrics that seemed impossible a decade ago."

Our research focuses on four critical subsystems, each presenting unique engineering challenges that push the boundaries of materials science and thermodynamics.

Oxygen-Rich Turbopump

Operating in oxygen-rich environments at extreme temperatures, this system demands materials that can withstand oxidative stress while maintaining structural integrity under high-speed rotation.

Fuel-Rich Turbopump

The fuel-rich side manages cryogenic propellants while precisely controlling mixture ratios—critical for maintaining combustion stability and preventing destructive oscillations.

Main Combustion Chamber

Where chemistry becomes thrust. We're optimizing injection patterns and chamber geometry to achieve complete combustion while managing thermal loads that would melt most materials.

Bell Nozzle

Computational fluid dynamics guides our nozzle design, optimizing expansion ratios for performance across varying atmospheric conditions—from sea level to vacuum.

This work directly supports Hypersona's vision of making point-to-point rocket travel economically viable and safe for regular passenger operations.

COMPUTATIONAL BIOLOGY

Virtual Blood Twin Technology

Digital proteomics using AlphaFold 3 for personalized medicine

Blood is our body's information highway—a complex soup of thousands of proteins, each playing specific roles in everything from immunity to metabolism. Understanding how drugs interact with this system has historically required years of wet-lab experimentation. We're changing that paradigm.

"By creating accurate digital models of blood at the molecular level, we can test thousands of drug candidates in silico before synthesizing a single molecule."

Using AlphaFold 3's breakthrough protein structure prediction capabilities, we're building comprehensive models of blood proteomics. These "virtual twins" capture the structural details and interaction patterns that govern drug behavior in the human body.

Protein Structure Mapping

Systematic analysis of blood protein structures, creating a comprehensive atlas of molecular architecture that serves as the foundation for all downstream predictions.

Drug Interaction Modeling

Simulating how drug candidates bind to target proteins, predicting both efficacy and potential side effects before clinical trials.

Virtual Twin Development

Creating personalized models that account for individual genetic variations, enabling truly tailored therapeutic approaches.

Discovery Pipeline

Accelerating drug discovery by orders of magnitude, from years to months, while reducing costs and improving success rates.

This research powers Bean's mission to democratize personalized medicine through computational precision.

GET IN TOUCH

Let's Connect

Whether you're interested in collaboration, investment opportunities, or just want to chat about rockets and healthcare innovation.

hello@dineshappavoo.com

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