CV

Phd student

Robot Learning Lab, Aalto University

Working on RL and generative models for combinatiorial optimization tasks, including Neural Architecture Search.

Deep learning engineer

Capalo AI

• Developed a simulation framework for Nordic electricity pricing markets.
• Worked on multi-market optimization algorithsm for day-ahed electricity trading with BESS

Research assistant

Speech and cognition research group, Tampere University

• Developed a tool for time-series annotion under the guidance of Prof. Okko Räsänen
• The goal was to allow easy annotation with multiple datasources, including EEG, speech and video.

Machine learning and programming intern

Device concept lab, Huawei technologies Finland

• Worked with a parameter estimation problem with a small-scale dataset with a large proportion of missing values.
• The problem was cast to a data imputation task.

Discrete optimization and programming intern

Device concept lab, Huawei technologies Finland

• Developed a tool for solving combinatorial optimization problems, with support for multiple higher-level programming languages.
• The developed methodology improved the previously found solutions and solved previously unattainable problems.

Research assistant

Faculty of management and business, Tampere University

• Main responsibilities included web-scraping and exploring options for implementing a natural language parser for Finnish text.

Teaching assistant

Faculty of engineering and natural sciences, Tampere University

• Worked as a TA in an introductory course on automation and control during 4 semesters.
• Main responsibilities included organizing weekly exercise sessions & grading student exercises.

Master of Science (tech)

Tampere University

Computer Science

• Major: Signal processing and machine learning
• Minor: applied mathematics
• GPA: 4.96 / 5.0

Bachelor of Science (tech)

Tampere University

Computer Science

• Major: Signal processing and machine leanring
• Minors: applied mathematics, software engineering
• GPA: 4.97 / 5.0