Göran Sandström
Machine Learning Engineer at Veqtor Productions
Stockholm, Stockholm County, Sweden
Summary
👤
Senior🎓
Top SchoolGöran Sandström is a Machine Learning Engineer in Stockholm with a decade of experience blending deep learning, signal processing and mobile development to solve audio, speech and multimodal problems. He moved from senior Android roles into ML at BookBeat, shipping production systems for TTS/STT, recommender and transformer-based models while retaining hands-on proficiency in Python, Kotlin and C#. Göran’s background in DSP, psycho-acoustics and sound synthesis informs his practical approach to audio pipeline design and algorithm development, enabling robust real-time and mobile-aware solutions. He is an active creator and performer—running audio/visual art projects and composing electronic music—which contributes uncommon domain insight into user-facing audio features. On GitHub he has contributed front-end UX/security improvements to the hicetnunc platform, reflecting a willingness to engage across the stack and improve product security and interactivity.
10 years of coding experience
8 years of employment as a software developer
Level 1 & 2, Electroacoustic Music Composition, Level 1 & 2, Electroacoustic Music Composition at EMS ElektronmusikstudionElectro-Acoustic Composition Program, Composition, Electro-Acoustic Composition, Algorithmic Composition, Max/MSP, Electro-Acoustic Composition Program, Composition, Electro-Acoustic Composition, Algorithmic Composition, Max/MSP at Gotland School of Music CompositionBachelor of Science (B.Sc.), Audio Programming, DSP, Acoustics, Bachelor of Science (B.Sc.), Audio Programming, DSP, Acoustics at Högskolan Kristianstad
Swedish, English, French
Stackoverflow
141reputation
1kreached
1answer
1question
Github Skills (13)
javascript10
content-security-policy10
ui-design10
react10
sec10
daap9
ipfs8
tezos8
neural-network6
keras6
deep-learning6
machine-learning6
tensorflow6
Programming languages (12)
Github contributions (5)
hicetnunc2000/hicetnunc
Mar 2021 - Jun 2021
hicetnunc UI/UX
Role in this project:
Front-end Developer
Front-end DeveloperContributions:7 reviews, 51 commits, 27 PRs in 2 months
Contributions summary:Göran primarily contributed to the user interface and user experience of the hicetnunc platform. Their work focused on refining the feed functionality, including fixing issues with the blocklist and ensuring proper data sanitization. Furthermore, the user was responsible for updating the content security policy (CSP) to improve the platform's security and allow for a more interactive user experience, adding various data sources.
reactdappux-uitezoshicetnunc
dynastes-team/dynastes
Nov 2019 - Jun 2020
A collection of layers, ops, utilities and more for TensorFlow 2.0 high-level API Keras
Contributions:235 commits, 6 PRs, 273 pushes in 6 months
apiopsdeep-learningtensorflow-2-0high-level
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