Lovisa Josefsson
Electronic Engineer at Trimble Inc.
Sweden
Summary
👤
Senior🎓
Top SchoolLovisa Josefsson is an Electronic Engineer and Embedded Platforms specialist with a decade of hands-on experience and an academic foundation from KTH, currently pursuing an MSc in Embedded Systems. She focuses on low-level programming, hardware design verification and deploying deep learning models on edge hardware, notably implementing a computer vision model on a Xilinx Zynq UltraScale+ MPSoC with Vitis AI for her master thesis. At Trimble she bridges FPGA/embedded design and applied ML, bringing systems-level thinking to production-constrained platforms. Her background spans ICT, an Erasmus exchange at TUM, and early IT/web service work, giving her a pragmatic mix of software, hardware and operational perspective. Passionate about FPGA solutions for deep learning at the edge, she combines algorithmic awareness with hands-on hardware toolchain expertise. Colleagues would describe her as a systems-minded engineer who enjoys pushing ML out of research and into resource-constrained, verifiable platforms.
10 years of coding experience
Master of Science - MS, Embedded Systems, Master of Science - MS, Embedded Systems at KTH Royal Institute of TechnologyErasmus+ Exchange semester, Erasmus+ Exchange semester at Technical University of Munich
English, Swedish, German, French
Github Skills (33)
synthetic9
optical-flow9
depth9
nlp8
computer-vision8
natural-language-processing8
diffusion-models8
data-generation7
recommendation-system7
openvino7
inference7
segmentation7
deep-learning7
speech-recognition7
ai6
Programming languages (3)
Github contributions (5)
Orchidaceae/AI_palette_recommendation
Nov 2019 - Jan 2020
Contributions:70 commits, 12 pushes in 1 month
Orchidaceae/LuxSolis
Mar 2016 - Apr 2017
Contributions:3 pushes, 1 branch in 1 year 1 month
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