Daniel Høyer
Data Scientist
Viken, Norway
Summary
🤩
Rockstar🎓
Top School
Top expert inSmart Home Automation and IoT Development
Daniel Høyer is a data scientist with 11 years of experience bridging academic research and product-focused ML at Tibber, where he applies statistical rigor to energy and smart-home products. He holds an MSc in Statistics from NTNU and spent several years as a researcher and postdoc in ultrasound and medical imaging, giving him deep expertise in signal processing and experimental methods. Daniel is an active open-source contributor, improving backend integrations and reliability for projects like Home Assistant and Keras, and has fixed tricky bugs from date parsing to race conditions in widely used libraries. His strengths lie in turning research-grade algorithms into robust production code, with a knack for thread-safety, type-hinting, and refactoring to improve maintainability. Based in Viken, Norway, he combines a researcher’s attention to detail with a pragmatic engineering mindset that focuses on privacy-first, local-control solutions. An understated differentiator is his long history of both low-level network and high-level ML work, enabling him to operate across the full stack of data-driven products.
11 years of coding experience
4 years of employment as a software developer
Norges teknisk-naturvitenskapelige universitetLillehammer vgs
Stackoverflow
85reputation
50kreached
7answers
0questions
Github Skills (28)
python10
multithreading10
machine-learning10
network-programming10
asyncio10
keras10
iot10
deep-learning10
tensorflow10
thread10
hyper-threading10
sensor-fusion10
neural-network10
threaded10
reverse-engineering10
Programming languages (9)
Github contributions (5)
mjg59/python-broadlink
Dec 2016 - Sep 2020
Python module for controlling Broadlink RM2/3 (Pro) remote controls, A1 sensor platforms and SP2/3 smartplugs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 releases, 9 reviews, 47 commits in 3 years 9 months
Contributions summary:Daniel primarily contributed to the core functionality of the python-broadlink library. Their work included improving thread safety, fixing bugs related to network communication and authorization, and refactoring the code. They also implemented new features, such as fixing a race condition in the discover function and adding support for new devices, ensuring the library's compatibility with a wider range of Broadlink products. Additionally, the user made minor improvements by upgrading the library version.
python-modules
home-assistant/core
Feb 2015 - Jan 2023
:house_with_garden: Open source home automation that puts local control and privacy first.
Role in this project:Backend Developer
Backend DeveloperContributions:453 reviews, 626 commits, 1283 PRs in 8 years
Contributions summary:Daniel primarily contributed to the backend components of the Home Assistant project, focusing on integrations and sensor implementations. They fixed bugs and improved code quality through type hinting and refactoring. Key contributions include fixing date parsing issues, removing unnecessary data, and improving statistical calculations within the Tibber integration. Additionally, the user introduced new sensors and implemented updates to existing ones, such as the Mill integration.
home-automationpythoniotinternet-of-thingsmqtt
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