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Thimm Zwiener

Thimm Zwiener

CTO @ FarmOn | Regenerative agriculture
Tübingen, DE
zwiener@gmail.com
English, German, Dutch, French

Background

About

About

I am a machine learning and remote sensing export, currently steering innovation in regenerative agriculture as the CTO of FarmOn. My professional journey is distinguished by entrepreneurial ventures and a technical expertise, encompassing co-founding companies and developing data science solutions. I have a proven track record in transforming complex data into actionable insights, especially in hyperspectral imagery and remote sensing applications.

Work Experience

Work Experience

  • Co-Founder and CTO, FarmOn

    May, 2022 - Present

    FarmOn accelerates the transition towards regenerative agricultre, by enabling farmers to take smart and sustainable business decisions.

  • Co-Founder and CTO, Meuccitech

    Jan, 2023 - Present

    Meucci generates audiobooks with professional AI voices.

  • Founder-in-Residence, Fresh Ventures Studio

    Feb, 2022 - Aug, 20226 months

    Founder-in-Residence at Fresh Ventures Studio, co-founding companies to address systemic challenges in the food system.

  • Data & Machine Learning Specialist, tzwe consulting

    Sep, 2018 - Aug, 20223 years 11 months

    Provided services to small and medium sized companies with data driven challenges.

  • PHD Candidate, Vrije Universiteit Brussel

    Apr, 2021 - Dec, 20218 months

    Researching natural risks in urban environments using remote sensing and machine learning techniques.

  • Machine Learning Engineer, Radix

    Nov, 2019 - Dec, 20201 year 1 month

    Machine Learning Engineer involved in the implementation of AI solutions, their deployment on cloud infrastructures and their delivery to the clients.

  • Data Analyst, CDC Cartel Damage Claims

    Jun, 2017 - Aug, 20181 year 2 months

    Part of a data analysis team for antitrust damage litigations in Europe.

  • Student Assistant at the Geographical Institute, University of Tübingen

    May, 2014 - Sep, 20162 years 4 months

    Student Assistant involved in various projects related to remote sensing and geodata management.

  • Intern, German Aerospace Center (DLR)

    Mar, 2016 - May, 20162 months

    Internship focused on remote sensing data classification and segmentation with convolutional neural networks.

  • Student Research Assistant, IANES, Tübingen

    Jul, 2015 - Sep, 20152 months

    Field survey in Kurdistan, Iraq; magnetic measurements and working with geodetic instruments.

Skills

Skills

  • Programming

    Python

    FastAPI

    Azure

    AWS

    databricks

    HTML / JSX

    Javascript / Typescript

    Svelte / Sveltekit

    Dart / Flutter

  • Machine Learning

    pytorch

    embeddings

    computer vision

    LLMs

  • Remote Sensing

    GDAL

    Planetary Computer

    Mosaic

    H3

    Apache Sedona

    QGIS

Education

Education

  • Geographic Information Science and Cartography, Master's degree, Vrije Universiteit Brussel

    Jan, 2016 - Jan, 2018

  • Geography, Physics, General Science and Physical education, Bachelor's degree, University of Tübingen

    Jan, 2012 - Jan, 2016

  • Geography, Bachelor's degree, Jagiellonian University

    Jan, 2014 - Jan, 2015

Publications

Publications

  • Comparative Analysis of Edge Detection Techniques for SAR Images,

    Published on: undefined

    Publication related to SAR images.

  • Bachelor Thesis: Convolutional Neural Networks for Remote Sensing Data,

    Published on: undefined

    Bachelor thesis on Convolutional Neural Networks for Remote Sensing Data.

  • Master Thesis: Semiautomated clustering of hyperspectral imagery for urban mapping using HDBSCAN and a neural network autoencoder,

    Published on: undefined

    Master thesis on semiautomated clustering of hyperspectral imagery for urban mapping.