- 2022: Machine Learning Engineer @HappyScribe, working on automatic speech recognition.
- 2021: Machine Learning Engineer Intern @Spotify, implemented a two-stage recommender system to improve search results.
- 2021: Machine Learning Engineer Intern @EA Games, researched on multi-task Reinforcement Learning to improve automatic game-testing.
- 2020: Teacher Assistant @KTH Advanced Machine Learning course, teached Machine Learning fundamentals.
- 2019: Research Engineer @Robotics Perception and Learning (RPL), developed a vision module for robotic pick-and-place.
- 2019: M.Sc. Student M.Sc. in Machine Learning @KTH Royal Institute of Technology.
- 2018: Perception Engineer @XYZ Robotics, worked on robotic pick-and-place applications.
- 2017: Research Student @MCube Lab at the MIT, explored ML computer vision for robotic tactile feedback.
- 2013: B.Sc. Student: Simultaneously studied a B.Sc. in Mathematics and a B.Sc. in Industrial Engineering through CFIS @UPC.
Other "interesting" stuff on: LinkedIn, Scholar, Medium, CouchSurfing
- Top posts:
- Websites:
- CampusAI, containing notes on our most interesting ML-related readings (created with Federico Taschin)
- Algorithmics containing very raw notes on general software development topics.
- Paper re-implementations:
- Random stuff:
- Communication between c++ and python: cpp-python socket
- Bayesian Optimization Package: HyperParameter-Optimizer
- Reinforcement Learning in self-driving
- ANN Surgery
Interested in Machine Learning and Reinforcement Learning multi-task and meta-rl in particular. I have some experience with robotic perception 🤖 and have flirted a bit with recommender systems 🕵️. Lately got into automatic speech-to-text 🎧.
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