Machine Learning Engineer
CurrentR&D in computer vision and machine learning for sports analysis.• Attended the following conferences: CVPR Vancouver 2023
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@spiideo.com
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Haochen Liu is listed as Machine Learning Engineer at Spiideo, a with 39 employees, based in Greater Malmö Metropolitan Area, Sweden. AeroLeads shows a work email signal at spiideo.com and a matched LinkedIn profile for Haochen Liu.
Haochen Liu previously worked as Machine Learning Engineer at Axis Communications and Master's Thesis Student at Axis Communications. Haochen Liu holds Master'S Degree, Computer Science And Engineering from The Faculty Of Engineering At Lund University.
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More than five years of experience developing machine learning models for solving real-word problems, including:Scalable data collection, cleaning, annotation and storage.Designing and training deep learning models for use in the real-world in areas such as surveillance and sports analysis.Model quantization, pruning etc. for deployment to edge devices with limited compute, memory and layer support.Cloud training, deployment and inference using Amazon AWS and AWS Sagemaker.Keeping up with SOTA by continuously reading papers, learning and visiting conferences.
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Malmö, Skåne County, Sweden
R&D in computer vision and machine learning for sports analysis.• Attended the following conferences: CVPR Vancouver 2023
Lund, Skåne County, Sweden
R&D in computer vision and deep learning for embedded devices. For instance, trained and deployed deep learning models for the Axis Object Analytics application.• Filed two patents.• Supervised two summer engineering internships.• Tech lead for one project.• Code maintainer for the main repository used for training neural network models for object detection at Axis Communications.• Attended the following conferences: NeurIPS 2021, ICML Baltimore 2022
Lund, Skåne County, Sweden
Semantic Segmentation for embedded systems using deep Convolutional Neural Networks (CNN).
Lund, Skåne County, Sweden
Video annotation using VATIC for training and validating image processing algorithms used in Axis camera applications.
Lund, Skåne County, Sweden
Continuous integration (CI), pipelines and automated testing for Axis camera applications using Jenkins and Docker.
Lund, Skåne County, Sweden
Web applications for data visualization using Amazon AWS, Bootstrap, Three.js and Chart.js. Developed the Acconeer Radar viewer which is a browser based visualization tool for their A1 radar sensor.
Lund, Skåne County, Sweden
Software engineer consultant, freelance web developer.
Other employees you can reach at spiideo.com. View company contacts for 39 employees →
Fredrik Löfgren
Colleague at SpiideoStockholm, Stockholm County, Sweden
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CE
Carina Ek
Colleague at SpiideoMalmo, Skåne County, Sweden
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JA
Jonas Anderö
Colleague at SpiideoGreater Malmö Metropolitan Area, Sweden
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NS
Naci Sıratça
Colleague at SpiideoGreater Malmö Metropolitan Area, Sweden
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AM
Anna Michalski
Colleague at SpiideoJacksonville, Florida, United States
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MB
Mikhail Bulygin
Colleague at SpiideoMalmo, Skåne County, Sweden
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JF
Julia Forsgren
Colleague at SpiideoMalmo, Skåne County, Sweden
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陶T
陶昌毅Michael Tao
Colleague at SpiideoShenzhen, Guangdong, China
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LH
Lauren H. Schröder
Colleague at SpiideoMalmo, Skåne County, Sweden
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EG
Emilia Georgievska
Colleague at SpiideoCopenhagen, Capital Region Of Denmark, Denmark
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Activities and Societies: Webmaster at The Corporate Relations Committee, Computer Science department.
Studied control theory, digital signal processing and language studies
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Haochen Liu works for Spiideo.
Haochen Liu is listed as Machine Learning Engineer at Spiideo.
AeroLeads has found 1 work email signal at @spiideo.com for Haochen Liu at Spiideo.
Haochen Liu is based in Greater Malmö Metropolitan Area, Sweden while working with Spiideo.
Haochen Liu has worked for Spiideo, Axis Communications, Acconeer Ab, and Haochen Liu Enskild Firma.
Haochen Liu's colleagues at Spiideo include Fredrik Löfgren, Carina Ek, Jonas Anderö, Naci Sıratça, and Anna Michalski.
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Haochen Liu holds Master'S Degree, Computer Science And Engineering from The Faculty Of Engineering At Lund University.
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