Karel Ha

Czech Republic

@mathemage

Deep Learning - Deep Work - Deep Thought

Badges

Problem Solving
CPP
Python
Days of Code

Certifications

Work Experience

  • Artificial Intelligence Engineer

    Pure Storage, DX (Digital Experience)•  November 2024 - January 2025•  Prague, CZ

    prompt engineering & prompt ”meta-engineering”, ChatGPT Enterprise API, GPT 4o & o1, Github Copilot, Python, FastAPI, PyTest, Pydantic, Github, Glean, Kubernetes, Watchdog, Elastic, Spinnaker, Google Suite

  • AI Specialist & Prompt Engineer

    Aimtec, Division of Integration•  February 2024 - August 2024•  Pilsen, CZ

    information extraction from unstructured documents using LLMs, with AI-assisted development (Copilot, GPT 4o, Llama, …) and MLOps (AWS Bedrock)

  • AI Development Engineer – Autonomous Driving projects

    Porsche Engineering, ADAS Team•  June 2023 - November 2023•  Prague, CZ

    ML, computer vision, Python, Transformers, data science, dataset imputation

  • AI Researcher at Computer Vision Research Group

    Technical University of Munich, Chair of Remote Sensing•  March 2022 - April 2023•  Munich, DE

    Deep-learning hybrid uncertainty-aware modelling with Earth observation data

  • AI Specialist

    Volkswagen Group, Computer vision and Tools•  December 2020 - February 2022•  Prague & Pilsen, CZ

    Video Perception for Autonomous Driving / Advanced Driver-Assistance Systems

  • Deep Learning for Evolutionary Inferences from Large Genomic Data

    Imperial College London, Faculty of Natural Sciences•  April 2019 - October 2020•  London, UK

    Machine learning from population genomics (Pandas, NumPy) of malaria mosquitoes

  • Complex Imperfect-Information Game Strategies using Deep Learning

    Artificial Intelligence Center, Czech Technical University, CZ•  October 2017 - February 2019•  Prague, CZ

    Imperfect-information game theory and deep learning (tree search enhanced with neural networks). TensorFlow implementation.

  • Machine Learning Internship

    H2O.ai•  April 2017 - September 2017•  remotely for Mountain View, USA

    Enhanced the speed of PCA functionality by integrating and benchmarking alternative Java implementations of SVD decomposition.

  • EDIC Fellow Research Experience

    EPFL, School of Computer and Communication Sciences, CH•  September 2016 - February 2017•  Lausanne, CH

    Study of game theory, multi-agent systems and multi-agent reinforcement learning.

  • Technical Studentship Programme (full-time work experience)

    CERN, Intel & LHCb Online Computing•  April 2015 - March 2016•  Geneva, CH

    Realtime applications on Intel Xeon/Phi for Online DAQ system of LHCb detector.

  • Research Scientist (part-time internship)

    IBM, Watson Research•  May 2013 - March 2015•  Prague, CZ

    Research project in natural language processing and mobile computing.

  • Summer Studentship Programme (full-time work experience)

    CERN, Data Storage Group•  June 2014 - September 2014•  Geneva, CH

    Project in tape storage and data protection.

Education

  • Charles University

    MSc in Computer Science•  September 2013 - September 2016•  GPA: 1

  • Charles University

    BSc in Computer Science•  September 2010 - June 2013•  GPA: 1.05

Skills

Linux
Git
Vim
IntelliJ
PyCharm
Jupyter Lab
Colab
Keras
TensorFlow
TensorBoard
PyTorch
NumPy
Pandas
C
C++
Python
Java
bash
Haskell