Sujitkumar Gavali

is out learning. 🎓

Angestellt, Master thesis, Siemens Healthineers

Student, Computational Neuroscience, Humboldt-Universität zu Berlin

Berlin, Deutschland

Über mich

Actively looking for Internships / Master thesis (Abschlussarbeit)

Fähigkeiten und Kenntnisse

Python
Machine Learning
Biomedical Engineering
Project Management
Deep Learning
Data Analysis
Technology
MS Office
Computer Vision
Image Processing

Werdegang

Berufserfahrung von Sujitkumar Gavali

  • Bis heute 6 Monate, seit Jan. 2024

    Master thesis

    Siemens Healthineers

    MR artifact quantification using AI

  • 10 Monate, März 2023 - Dez. 2023

    Internship

    Technische Universität Berlin
  • 3 Monate, Okt. 2022 - Dez. 2022

    Engineering Intern

    Physikalisch-Technische Bundesanstalt

    Comparison of different B1+ mapping techniques in a phantom and in the human Brain at 7 Tesla MRI. -Ultrahighfield Magnetic Resonance Imaging, Biomedical magnetic resonance -Basic and advanced MRI

  • 3 Monate, Juli 2022 - Sep. 2022

    Intern

    Charité Berlin

    Machine learning prediction of the Intracranial pressure. -Time series analysis and data annotation of the medical data using Python and Label studio

  • 2018 - 2019

    Proton Therapy Engineer

    IBA Particle Therapy GmbH
  • 2017 - 2018

    Flying Engineer (Beam Physics)

    IBA Particle Therapy India

  • 3 Jahre, Jan. 2014 - Dez. 2016

    Assitant Manager

    Philips India Limited

    MRI & CT system installation and maintenance - Cold head maintenance, Helium filing, Deicing, After Quench procedures - Resolving Technical breakdowns of MR Systems - Conducting user safety training's at client’s site - Hands on experience on: MRI Systems(1.5T & 3T): Achieva, Ingenia, Intera, & Multiva MR Post processing systems: Extended MR Workspace, Intellispace portal Invivo Esys FMRI, Sensavue FMRI, Dynasuite, Dynacad, Philips Ambient experience. CT Systems: Brilliance 64, Ingenuity, MX16.

  • 2 Jahre und 10 Monate, Apr. 2011 - Jan. 2014

    Service Engineer

    Elekta

    Maintaining and installing Linear Accelerator system & Neuroscience products - Performing routine & periodic calibrations, Preventive maintenance & upgrades as per company’s requirement - Undertaking QA as per as the AERB and IEEE Protocol - Interacting and maintaining healthy relationships with customers in terms of specific product feedback, new upgrades & installations, contributing to company’s strong hold in market

Ausbildung von Sujitkumar Gavali

  • Bis heute 5 Jahre und 6 Monate, seit 2019

    Computational Neuroscience

    Humboldt-Universität zu Berlin

    Dual Degree(HU+TUB) Machine Intelligence - MI Models of Neural Systems - MNS Acquisition and Analysis of Neural Data - AAND Models of Higher Brain Functions - MHBF

  • Bis heute 5 Jahre und 6 Monate, seit 2019

    Computational Neuroscience

    TU Berlin

    Dual Degree(HU+TUB) Machine Intelligence - MI Models of Neural Systems - MNS Acquisition and Analysis of Neural Data - AAND Models of Higher Brain Functions - MHBF

  • 4 Jahre und 1 Monat, Feb. 2007 - Feb. 2011

    Biomedical Engineering

    University of Mumbai

    Biomedical Engineering

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

Interessen

Playing Harmonica & Table Tennis
Sketching
Avid yoga practitioner
Doing social activities

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