Jakob Stigenberg
Quantitative Researcher
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolJakob Stigenberg is a quantitative researcher in Stockholm with 11 years of experience applying machine learning and autonomous systems to real-world problems, currently working at Qubos Systematic. He specializes in reinforcement learning, probabilistic graphical models and deep learning, with a track record of moving DRL from research to production—work that led to a PIMRC publication and related patent activity during his Ericsson thesis. Jakob has built self-learning play-testing systems at King, developed digital twins for new radio technology at Ericsson, and applied deep RL to quantum physics problems as an AI consultant, demonstrating an unusual blend of industry, gaming, telecom and scientific applications. His background in engineering physics and electrical engineering (KTH, EPFL exchange) and hands-on cloud/microservice experience give him both theoretical depth and practical delivery skills.
10 years of coding experience
4 years of employment as a software developer
Optics and photonics, Optics and photonics at Zhejiang UniversityMaster's degree, Electrical Engineering, Master's degree, Electrical Engineering at KTH Royal Institute of TechnologyExchange studies spring of 2019, Exchange studies spring of 2019 at EPFL (École polytechnique fédérale de Lausanne)Business, 30 ECTS, Business, 30 ECTS at Stockholm University
Swedish, English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (86)
python10
gtk10
deep-learning10
gpu10
database-management10
qt10
numpy10
sql10
neural-network10
database10
tensorflow10
matplotlib10
machine-learning10
acceleration9
tensor9
Programming languages (4)
Github contributions (5)
jakkes/rl-cpp
Feb 2022 - Feb 2024
Contributions:21 PRs, 266 pushes, 34 branches in 1 year 11 months
jakkes/Jakkes.WebSockets
Nov 2016 - Apr 2019
Contributions:44 commits, 57 pushes, 7 branches in 2 years 4 months
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