Lukas Grasse
Verified Expert in Engineering
Software Developer
Lethbridge, AB, Canada
Toptal member since November 23, 2021
Lukas has a B.Sc. in Computer Science, M.Sc. in Neuroscience and is currently pursuing a Ph.D. in Neuroscience at the University of Lethbridge. He has experience in machine learning, robotics, and other industries. His current research focus is on speech recognition in noisy environments. Prior to starting graduate school, Lukas worked at a company called GuildOne as a software developer. Throughout his schooling, he has also worked as a freelance developer on various projects.
Portfolio
Experience
- C++ - 7 years
- Python - 5 years
- Robot Operating System (ROS) - 4 years
- TensorFlow - 4 years
- Machine Learning - 4 years
- Deep Learning - 4 years
- Speech Recognition - 3 years
- PyTorch - 2 years
Work Experience
Co-founder | CTO
Reverb Robotics Inc.
- Developed core software for speech recognition, natural language understanding, and text to speech.
- Collaborated with industry partners and researchers at multiple universities.
- Managed software developers working on various projects that leverage Reverb Robotics technology.
Software Developer
GuildOne Inc.
- Developed a distributed system that monitored 1000s of units of computer equipment using Apache Kafka, with a visual dashboard component.
- Worked on a distributed ledger project based on Corda. Was responsible for developing identity management aspects of the project.
- Developed features and fixed bugs for mapping software used in the oil and gas industry.
- Worked on a machine learning project to extract provisions from legal documents.
- Developed features and fixed bugs for a schematic drawing tool used in the oil and gas industry.
Project History
Reverb Robotics Core
This project contains the core software, and there are separate projects that interact with this core software using Robot Operating System (ROS) and Yet Another Robotics Platform (YARP).
Deploying Mozilla DeepSpeech Models to AWS Lambda using Serverless
This type of system works well for deploying smaller machine learning models and is easily scalable.
Speech Interaction to Control a Hands-free Delivery Robot for High-risk Health Care Scenarios
https://www.frontiersin.org/articles/10.3389/frobt.2021.612750/fullThe system demonstrated an end-to-end delivery interaction and is useful for healthcare scenarios.
Education
Doctorate Degree in Neuroscience
University of Lethbridge - Lethbridge, AB, Canada
Master of Science Degree in Neuroscience
University of Lethbridge - Lethbridge, AB, Canada
Bachelor of Science Degree in Computer Science
University of Lethbridge - Lethbridge, AB, Canada
Skills
Libraries/APIs
PyTorch, TensorFlow, Hugging Face Transformers
Tools
PyCharm
Languages
C++, Python, Java, Scala
Platforms
Linux, Apache Kafka, AWS Lambda
Frameworks
gRPC
Storage
PostgreSQL, PostGIS
Other
Robot Operating System (ROS), Speech Recognition, Machine Learning, Deep Learning, Mapping
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