Ebenstein Michael


The University of Texas at Austin | MSc in Electrical and Computer Engineer

September 2022 - June 2024 | Austin, TX

Focus on Machine Learning and Graphics Hardware
VLSI I Project: Naive ML Processor

King's College London | Bsc in Computer Science

September 2019 - June 2022 | London, UK

GPA: 4.0
Final Year Project: Fast generation of Neural Radiance Fields from monocular video sequences

Technologisches Gewerbe Museum (TGM) | Informatics, System Engineering

September 2014 - June 2019 | Vienna, AT

Extracurricular activities:
Robotics, Mobile App Development

Transcript of final report card


Volkswagen | Research Scientist (Internship)

June 2021 - September 2021 | Wolfsburg, DE (remote)

Research internship focused on monocular depth estimation
  • Literature research on SOTA models.
  • Evaluation of models on various domains, including custom internal data.
  • Data preparation with different camera distortion and projection models using LIDAR data.
  • Trained models jointly on real world and simulation data on GPU cluster.
  • Achieved SOTA results for depth estimation.
  • Organized and ran workshops on:
    • Depth Estimation: Comparison of SOTA models using Self-Supervised Learning and Supervised Learning; and Semi-Supervised Semantic Segmentation.
    • Transformer Architecture and Attention Mechanisms for Image Space
    • Tutorial on GPU Cluster for Research Staff
Letter of Recommendation

Infosys | InStep Intern

March 2020 - May 2020 | Bangalore, IN

  • Built a internal Video streaming platform prototype
  • Main feature: Machine Learning overlays over video feeds
  • Goal: Distributed automated surveillance system

Visio Impulse | Research Engineer

January 2020 - September 2022 | London, UK

  • Natural Language Processing (NLP) for summary creation and question answering using transformers
  • Interactive text search using GANs
  • Machine Learning insight into large satellite and drone imagery
  • Comparison of images to CAD references

A1 Digital | Junior Data scientist

July 2018 - February 2019 | Vienna, AT

  • Analysis of sensory data and correlation analysis
  • Energy market modeling and auction price prediction
  • Predictive resource planning
Letter of Recommendation

Kapsch Cybersecurity | Cybersecurity Utility Developer

July 2017 - August 2017 | Vienna, AT

  • Artifact recovery
  • Task parallelisation
  • Log analysis and anomaly detection
  • Big Data analysis and data visualization
  • Incident report tool