
Magdalena Kamińska
@magdalenakamiska
AI Algorithm Engineer at Intel who trained and deployed keyword-spotting and sound-classification models, with 8 models in production.
What I'm looking for
At Intel Corporation, I trained, evaluated and deployed keyword-spotting and sound-classification models, with 8 models in production. I also cleaned and validated audio datasets and assessed model performance using statistical metrics.
At Amazon, I managed multilingual voice recording and quality control for speech datasets used in Alexa and AWS Polly voices. I built Python automation for audio processing steps, cutting manual processing time by over 50%.
I’m now based in Newcastle, NSW, and keen to bring my hands-on listening and audio work to TELUS speech and voice AI projects. I’ve worked with speech data, audio quality control and model training, and I’m a native Polish speaker with fluent English (C2).
Experience
Work history, roles, and key accomplishments
Trained, evaluated, and deployed keyword-spotting and sound-classification models, with 8 models in production. Cleaned and validated audio datasets and measured model performance with statistical metrics.
Managed multilingual voice recording and quality control of speech datasets for Alexa and AWS Polly. Built Python automation for audio processing, cutting manual processing time by over 50%.
Education
Degrees, certifications, and relevant coursework
Infoshare Academy
Junior Data Scientist Bootcamp, Data Science
2018 - 2019
Completed a 320-hour Junior Data Scientist Bootcamp covering Python, SQL, Tableau, statistics, visualization, and machine learning.
Wroclaw University of Technology
Master of Electronics, Electronics
2012 - 2015
Master of Electronics degree from Wroclaw University of Technology from 2012 to 2015.
Wroclaw University of Technology
Bachelor of Electronics, Electronics
2008 - 2012
Bachelor of Electronics (Sound Engineering) degree from Wroclaw University of Technology from 2008 to 2012, including recording and mixing musical groups and live audio events.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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