Martin Weigl
Softwareingenieur at datavisyn
Leonding, Upper Austria
Summary
👤
Senior🎓
Top SchoolMartin Weigl is a software engineer with 9 years of experience who bridges computational biology and practical field phenotyping to turn real-world agricultural problems into data-driven solutions. Currently at datavisyn, he focuses on data science workflows and applied technologies such as Pandas, OpenCV and TensorFlow to analyze complex phenotypic datasets. His prior role managing maize hybrid field trials at SAATBAU LINZ gave him hands-on expertise in experimental design, NIR and GNSS integration, and statistical analysis of large-scale phenotype data. Martin combines domain knowledge from plant breeding with software engineering rigor, enabling automation and remote sensing pipelines that accelerate breeding decisions. Based in Leonding, Austria, he is particularly interested in leveraging computer vision and machine learning to make noisy field data actionable. An unusual strength is his ability to move smoothly between collecting field measurements and building the analysis tooling that extracts scientific insight.
9 years of coding experience
2022, Computational Biology, 2022, Computational Biology at Hagenberg Campus - FH Upper Austria
Github Skills (44)
snap8
calibration7
nextcloud6
iot6
probabilistic6
docx6
measurement6
nodejs5
probabilistic-models5
excel5
file-sharing5
doc5
javascript4
xlsx4
editors4
Programming languages (5)
Github contributions (5)
MartinWeigl/pycaleva
Feb 2022 - Dec 2022
A framework for calibration measurement of binary probabilistic models
Contributions:2 releases, 1 review, 5 commits in 9 months
machine-learningmeasurementcalibrationprobabilistic-modelsprobabilistic
timberfake/technoshoe
Sep 2017 - Feb 2018
Contributions:15 pushes, 4 branches in 5 months
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