Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Publications
Publications

Austin Vas

Data Science | ML | DL Engineer
Stuttgart

Summary

Sophisticated Machine Learning Engineer with background in Embedded Systems and Medical Science. Looking for a role to join in the data-driven Artificial Intelligence (AI) revolution. Multidisciplinary experience in Data Analysis (statistical methods), creating machine learning models and retraining systems and Effectively researches techniques for novel approaches to problems, develops prototypes to assess viability of approach.

Overview

2
2
years of professional experience
6
6
years of post-secondary education
5
5
Languages

Work History

Working Student (Data Science)

Fresenius Medical Care (Data Solutions)
Berlin
09.2022 - Current
  • Development of predictive Mathematical models
  • Performed pre-processing of large medical records

Data Science Research Intern

Fresenius Medical care (Data Solutions)
Berlin
03.2022 - 08.2022
  • Compiled, cleaned and manipulated data for proper handling and provided insights using graphic visualization concepts to map and simplify analysis of heavily-numeric medical data and reports for Peritoneal Dialysis patients.
  • Improved existing code structure
  • Development of Mathematical models for Adequacy calculation in Peritoneal Dialysis
  • Participated in Intra-department hackathon and successfully provided inputs for projects like anomaly detection
  • Tools: Python, Pandas, Azure, Jira, Plotly, VS code

Working Student

Steinbeis Research Institute
Stuttgart
09.2021 - 02.2022
  • Development of reusable AIOT (Artificial Intelligence &IoT) architecture.
  • Tools: Grafana, Supabase (open-source firebase alternative), Prometheus, React, Docker

Student Assistant

Semiconductor System Testing and Diagnostics Department, University of Stuttgart
Stuttgart
05.2021 - 11.2021
  • Research and implementation of Hyper Dimensional Computing (HDC) encoding methods for data such as speech and images.
  • Performed research on impact of CNN vs HDC on Embedded Systems.

Education

Master of Science - Information Technology

University of Stuttgart, Stuttgart, Germany
10.2020 - Current

Core Area: Advanced Mathematics, Embedded Systems, Machine Learning, Deep Learning


Projects:

  • Predicting Personality Traits from Mouse and Keyboard Embedding
  • Gate level power prediction using RTL simulation and Machine learning

Bachelor of Engineering - Electronics And Communications Engineering

N. M. A. M Institute of Technology, Udupi, India
08.2016 - 09.2020

Core Area: Signal Processing, Embedded Systems, Communication Engineering

Skills

    Data science research methods

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Accomplishments

  • Grand Finalist of National Level Smart India Hackathon 2019
  • Quarter-finalist of Texas Instruments Innovation Challenge 2018-2019 edition

Timeline

Working Student (Data Science) - Fresenius Medical Care (Data Solutions)
09.2022 - Current
Data Science Research Intern - Fresenius Medical care (Data Solutions)
03.2022 - 08.2022
Working Student - Steinbeis Research Institute
09.2021 - 02.2022
Student Assistant - Semiconductor System Testing and Diagnostics Department, University of Stuttgart
05.2021 - 11.2021
University of Stuttgart - Master of Science, Information Technology
10.2020 - Current
N. M. A. M Institute of Technology - Bachelor of Engineering, Electronics And Communications Engineering
08.2016 - 09.2020

Publications

  • P. R. Genssler, A. Vas and H. Amrouch, "Brain-Inspired Hyperdimensional Computing: How Thermal-
    Friendly for Edge Computing?," in IEEE Embedded Systems Letters, 2022, doi: 10.1109/LES.2022.3192093.

Publications

  • P. R. Genssler, A. Vas and H. Amrouch, "Brain-Inspired Hyperdimensional Computing: How Thermal-
    Friendly for Edge Computing?," in IEEE Embedded Systems Letters, 2022, doi: 10.1109/LES.2022.3192093.

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Austin VasData Science | ML | DL Engineer