Lukas Scheucher
@lukasscheucher
CTO and co-founder passionate about AI and blockchain technology.
What I'm looking for
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
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.
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.
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.
Deep/Machine Learning Engineer
Volkswagen
Jul 2018 - Oct 2019 (1 year 3 months)
Developed a 2D perception pipeline for autonomous driving, focusing on model research, training, and deployment to embedded devices.
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.
Education
Degrees, certifications, and relevant coursework
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
compasslabs.aiJob categories
Interested in hiring Lukas?
You can contact Lukas and 90k+ other talented remote workers on Himalayas.
Message LukasFind your dream job
Sign up now and join over 85,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
