Idan Tene is a Senior Machine Learning Engineer with 11 years of experience building production-ready ML and DL systems, currently working at ICEYE in Helsinki. He combines a dual academic background in computer science and generative linguistics with an MSc in Data Science to tackle NLP and environmental/remote-sensing problems, from LiDAR and satellite imagery to forestry health monitoring. At CollectiveCrunch he led data science teams and shipped an award-winning bark beetle detection product that fused spatio-temporal, tabular and image data into client-ready pipelines. Technically fluent across cloud platforms, PostgreSQL, scalable microservices, and model optimization/parallelization, he’s equally comfortable designing explainable models and maintaining on-prem infrastructure. A lifelong coder who started at age nine, he brings curiosity-driven research experience (including a Helsinki exchange) and a knack for creative, interdisciplinary solutions at the intersection of language, AI and environmental science.
11 years of coding experience
10 years of employment as a software developer
Physics Robotics & Computer Science, Physics Robotics & Computer Science at Ort HaShomron High School
Bachelor of Science (BSc) Computer Science and Linguistics, Bachelor of Science (BSc) Computer Science and Linguistics at The Hebrew University of Jerusalem
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Helsinki
Contributions:49 commits, 81 PRs, 170 pushes in 8 months
pythonpython-client
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Idan Tene - Senior Machine Learning Engineer at ICEYE