Lukas ScheucherLS
Open to opportunities

Lukas Scheucher

@lukasscheucher

CTO and co-founder passionate about AI and blockchain technology.

United Kingdom

What I'm looking for

I am looking for opportunities that foster innovation and allow me to lead impactful projects in AI and blockchain.

I am a seasoned technology leader with a strong background in software engineering and entrepreneurship. As the CTO and co-founder of Compass Labs, I am currently building a unified API for DeFi, focusing on non-custodial solutions and leveraging custom GPT technology. My role involves leading a talented team of engineers and driving innovation in the digital assets space. I successfully raised $2M in venture capital funding from top-tier investors, including a16z, demonstrating my ability to attract investment and build high-growth technology companies.

Previously, I worked at Google X as an AI software engineer, where I developed an MVP for an AI-based monitoring tool and contributed to projects involving wearable devices and machine learning pipelines. My experience at Volkswagen further honed my skills in deep learning and autonomous driving technologies, where I was responsible for developing perception pipelines for real-time object detection. My academic background includes a Master’s degree in Mechanical Engineering from TUM, where I specialized in Computational Engineering and High-Performance Computing.

Experience

Work history, roles, and key accomplishments

Compass Labs logoCL
Current

CTO/co-founder

Compass Labs

Jun 2022 - Present (3 years)

Currently building a unified API for DeFi, focusing on non-custodial solutions and custom GPT integration. Developed a backtesting ad execution framework for institutional onboarding in digital assets. Led a team of 5 engineers and raised $2M in VC funding.

EF

Founder in Residence

Entrepreneur First

Mar 2022 - May 2022 (2 months)

Participated in the Entrepreneur First accelerator, exploring various startup ideas that led to the founding of Compass Labs.

GX

Software Engineer

Google X

Nov 2019 - Jan 2022 (2 years 2 months)

Worked as an AI software engineer, developing internal tools and an MVP for an AI-based monitoring tool. Contributed to a wearable device project, focusing on ML training pipelines.

TU

Post Graduate Researcher

TUM

Jul 2017 - May 2018 (10 months)

Conducted research on uncertainty quantification and optimization in physical simulations using Bayesian methods and machine learning.

SU

Visiting Graduate Researcher

Stanford University

Oct 2016 - Jul 2017 (9 months)

Implemented gradient computation in a C++ fluid dynamics code used by the US Army for aircraft development.

Education

Degrees, certifications, and relevant coursework

Technical University of Munich logoTM

Technical University of Munich

Master of Science, Mechanical Engineering

2017 - 2018

Grade: 1.6

Majored in Computational Engineering and High-Performance Computing. Conducted research in uncertainty quantification in physical simulations using Bayesian methods and machine learning. Collaborative development of a C++ HPC codebase.

Stanford University logoSU

Stanford University

Visiting Graduate Researcher, Engineering

2016 - 2017

Implemented gradient computation in a C++ fluid dynamics code used by the US Army for parametric shape optimization of flexible wings.

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