CV
Experience
- Team Lead & System Architect, 2021 - 2022
- Saab AB, Stockholm, Sweden
- I managed a team responsible for developing an automated adaptable data mesh used to store and serve sensor data in a data fusion platform. Along with guiding the team, I focused on architectural system design and development. The role also included customer relations and requirement definition.
- Data Scientist & Software Developer, 2020 - 2021
- Saab AB, Stockholm, Sweden
- I developed machine learning models for surveillance applications and a containerized machine learning pipeline that allows Saab to train and deploy prediction models on customer sites using their own data.
- Researcher, 2020
- Harvard University, Boston, Massachusetts
- Supervisor: Prof. Na Li
- I researched on zero-order distributed Bayesian optimization in multi-agent systems. I devel- oped a compact python package for distributed optimization that allow simulating and bench- marking novel optimization algorithms.
- Researcher, 2019
- Jet Propulsion Laboratory, NASA, Pasadena, California
- Supervisors: Ph.D. Petter Nilsson, Ph.D. Ali Agha, Prof. Richard M. Murray
- I developed a mission autonomy connectivity planning software for use in DARPA Subterranean Challenge. The software is able to execute arbitrary mission plans improving the development cycle of planning algorithms.
- Researcher, 2019
- California Institute of Technology, Caltech, Pasadena, California
- Supervisors: Ph.D. Petter Nilsson, Prof. Richard M. Murray
- I researched on optimization-based planning for connectivity-constrained multi-agent systems. The planning algorithm developed was implemented and released in the python package COPS.
- Teaching Assistant, 2018 - 2019
- The Royal Institute of Technology, Stockholm, Sweden
- Supervisors: Prof. Bo Wahlberg, Prof. Henrik Sandberg
- I assisted and guided groups of students in automatic control labs.
- Researcher, 2018
- California Institute of Technology, Caltech, Pasadena, California
- Supervisors: Ph.D. Jin Ge, Prof. Henrik Sandberg, Prof. Richard M. Murray
- I developed and implemented localization and control systems for autonomous driving in multi- lane traffic. I used lidar data to map and localize in the environment in real time.
- Researcher, 2017
- Zhejiang University, Zhèdà, Hangzhou, China.
- Supervisor: Prof. Min Qiu
- I researched the effects and properties of gold nanoparticles in the interaction with pulsating light. The research contributed to the understanding of the different effects on nanoparticles between different light patterns.
Education
- Researcher, 2020
- School of Engineering and Applied Sciences, Harvard University
- Supervisor: Prof. Na Li
- M.S. in Systems, Control and Robotics, 2020
- The Royal Institute of Technology
- Supervisors: Prof. Karl Henrik Johansson, Prof. Henrik Sandberg
- Researcher, 2019
- Computing and Mathematical Sciences, California Institute of Technology
- Supervisor: Prof. Richard M. Murray
- B.S. in Engineering Physics, 2018
- The Royal Institute of Technology
Publications
Filip Klaesson, Petter Nilsson, Tiago Stegun Vaquero, Scott Tepsuporn, Aaron D. Ames and Richard M. Murray
Filip Klaesson, Petter Nilsson, Aaron D. Ames and Richard M. Murray
Teaching
Competences
- Technical
- Golang, Python, Java, JavaScript, React, C/C++, Bash, Matlab, LaTeX
- Docker, Podman, Kubernetes, Helm, Kubebuilder, Istio
- REST, GRPC, Protobuf, Protoc, FastAPI, OpenAPI, Django, Flask, Uvicorn
- NATS, Kafka, RabbitMQ, ROS
- Poetry, Pyenv, PyTorch, Pydantic, Pandas, Jupyter, Scikit-Learn, Keras, Gurobi
- PostgreSQL, TimescaleDB, MongoDB, ArangoDB, MySQL, Redis
- Git, Artifactory, Bitbucket, Github, GitLab, Gerrit, Digital Ocean, AWS, GitlabCI, Jenkins, Tekton, Drone, Argo
- Linux, OS X, Vim, VSCode Scrum, Jira, Confluence, BPMN
- Experiences
- Team Leader
- System Architect
- Backend Developer
- Data Scientist
- Machine Learning Engineer
- DevOps Engineer
- Control & System Engineer
- Languages
- Swedish
- English
- German
- Licenses
- Swedish drivers licence B