Moein Kareshk
Welcome! I’m currently a Senior Machine Learning R&D in the AutoMLx team at Oracle, working on the AutoML backend of the Oracle Database and AutoML for time-series forecasting. I’m broadly interested in all aspects of machine learning (ML), particularly Automated ML (AutoML), Scalable ML infrastructure design, anomaly detection, and forecasting.
Before Oracle, I was a Research Developer in the Benchmarking team at D-Wave. During this time, I was working on benchmarking real-world quantum annealing computers against classical computers on a vast range of optimization problems.
Before D-Wave, I was a Machine Learning Developer in the AlphaLayer team at AltaML. The focus of my research there was the soft clustering of assets into different sectors in an unsupervised fashion and designing backtesting approaches to analyze the performance of long-short arbitrage strategies in the global equity market.
During my MSc at the University of Alberta, my research focused on predicting unstructured merge conflicts in collaborative software development. This project was partially funded by Samsung Canada. Prior to this, I received another master’s degree from the Ferdowsi University of Mashhad in Computer Engineering where I was working on the impact of causality relations in sparse ML models.
In my spare time, I enjoy hiking in the beautiful nature of British Columbia, travelling, and cooking!
Experience
- Senior Machine Learning R&D, Oracle, Vancouver, September 2021 to Present
- Research Developer, D-Wave, Burnaby, September 2020 to September 2021
- Machine Learning Developer, AltaML, Edmonton, March 2020 to September 2020
- Research Assistant Intern, Oracle, Vancouver, July 2019 to December 2019
- Research Assistant, University of Alberta, Edmonton, September 2017 to June 2019
- Machine Learning Developer, OcularAI, Toronto, September 2017 to August 2018
Education
- MSc in Computing Science, University of Alberta, 2020
- MSc in Computer Engineering, Ferdowsi University of Mashhad, 2016
- BSc in Computer Engineering, Ferdowsi University of Mashhad, 2013
News
- July 2022: Published our work, ”N-1 Experts: Unsupervised Anomaly Detection Model Selection”, in AutoML-Conf 2022
- December 2021: Published our work, “Portfolio Optimization on Classical and Quantum Computers Using PortFawn”, on arXiv
- September 2021: Joined Oracle as a Senior Machine Learning R&D to work with the AutoMLx team
- September 2020: Started my work as a Research Developer in the Benchmarking team at D-Wave
- April 2020:** Graduated from the University of Alberta with an MSc degree in Computing Science
- March 2020: Started my journey as a Machine Learning Developer in the AlphaLayer team at AltaML