PROFESSIONAL EXPERIENCE

 

CTO

dicomLAB Medical Ltd.

Budapest, HU & Szeged, HU ▪ Apr 2024 - Present

  • Identify the technological needs and embrace the development of the company from a technological aspect.

  • Implement a technology vision and strategy that aligns with business objectives, both short- and long-term.

  • Oversee R&D efforts and implement solutions that integrate new technologies that can enhance company products and/or operations.

  • Lead product development efforts, including hands-on coding, design, and architecture decisions.

  • Oversee day-to-day technology operations, ensuring systems and projects are running effectively and efficiently.

  • Close collaboration with the CEO and other stakeholders to provide technological insights and contribute to overall business strategy.

Tech Stack, Tools & Environment:
VTK, VTK.js, ITK, scikit-image, OpenCV, Qt, Javascript, Python, Flask, NumPy, SciPy, PostgreSQL, AWS CLI, AWS S3, AWS EC2, AWS ECS, AWS EKS, Docker, VS Code, CMake, Bash, Zsh, Ubuntu, Debian.

Supervisor: Zsuzsa Kiss, CEO

Product Security Officer
(Cybersecurity Subject Matter Expert)

dicomLAB Dental Ltd.

Budapest, HU & Szeged, HU ▪ Oct 2024 - Present

  • Create the system- and product security framework; draft, develop and execute cyber security related operations, i.e. processes, procedures and work instructions.

  • Perform system- and product security operations and activities, as necessary. Supervise system- and product hardening efforts, vulnerability analysis and management, if needed administer scanning and analysis tools setup, configuration and execution, perform risk assessment, document and organize resulting data in a security summary report, etc.

  • Meet the quality objectives and attest commitment to the highest standards of the profession, dictated by industry standards and various cyber security-related laws and regulations.

  • Comply with all EU MDR and other applicable regulatory requirements and follow appropriate guidelines - Passed the MDR surveillance audit for overseen SaMD (Software as Medical Device) products regarding their cybersecurity posture.

Supervisor: Dr. Endre Varga MD, CEO

 

Cybersecurity Lead

Varian Medical Systems

Budapest, HU ▪ Apr 2022 - Mar 2024

  • Independently elaborates and develops technical software solutions in the domain of patient QA and related areas.

  • Lead the implementation of and adherence to Varian’s cybersecurity guidelines as part of the software development process in the domain of patient QA and related areas.

  • Lead the activities to render software solutions developed in the domain of patient QA and related areas compliant with cybersecurity regulations put forward by the regulatory bodies and our customers.

Tech Stack, Tools & Environment:
Python, Flask, Genshi, Coffeescript, CouchDB, Jenkins, Team Foundation Server, Azure DevOps Server, Bash, Debian, Ubuntu.

Supervisor: Christof Baltes, Dir., QA Solutions

 

Full Stack Software Engineer - Medical Devices

Varian Medical Systems

Budapest, HU ▪ May 2020 - March 2022

Part of the QA Solutions - Patient QA team, with focus on applications for processing images and analyzing radiotherapy Quality Assurance data. Improved and developed fully integrated solutions to enhance the reliability and safety of radiotherapy treatments in close collaboration with R&D, engineering, scientific partners and product management. Performed product security related activities for Mobius in the Cybersecurity SME role since late 2020.

Tech Stack, Tools & Environment:
Python, Flask, Genshi, Coffeescript, CouchDB, Jenkins, Team Foundation Server, Azure DevOps Server, Ubuntu OS.

Supervisor: Florian Milde, Mgr., SW Engineer (Applications)

 

Senior Software Engineer

dicomLAB Ltd. / Ossevo Medical Ltd.

Szeged, HU ▪ Nov 2016 - Mar 2020

  • Led development in a cross-functional team of clinical specialists, radiologists, mechanical- and software engineers.

  • Executed requirement analysis, designed and implemented navigation systems for 3 surgical areas.

  • Refactored obsolete legacy code, developed algorithms for geometric operations, mesh processing and 3-D visualization across teams to reduce complexity, improving computation time on average by ~115%.

  • Generated code and documentation to comply with international regulatory requirements of IEC 62304.

  • Improved post-operative evaluation and compatibility with surgical equipment of the prosthesis manufacturer.

Tech Stack, Tools & Environment:
VTK, VTK.js, scikit-image, OpenCV, Qt, Javascript, Python, NumPy, SciPy, PostgreSQL, AWS S3, Docker, JetBrains PyCharm.

Supervisors: Dr. Endre Varga MD, CEO / Zsuzsa Kiss, CEO

 

Lead Developer

Dept. of Traumatology, Faculty of Medicine, Univ. of Szeged

Szeged, HU ▪ Nov 2016 - Oct 2018

  • Collaborated with 21 specialists to introduce 3-D surgical planning and surgical navigation through patient-matched devices to several departments resulting in 20+ successfully performed surgical operations.

  • Developed novel and surgical area specific medical image segmentation and registration methods.

Tech Stack, Tools & Environment:
VTK, ITK, SimpleITK, Qt, Python, NumPy, PHP, MySQL, Apache WampServer, Visual Studio Enterprise.

Supervisor: Prof. Dr. Endre Varga PhD, Head of Department

 

Research Intern

Tyndall National Institute

Cork, IE ▪ Jun 2007 - Aug 2008

Performed program optimization and porting from Mathematica to C++ to implement a combined Finite Element (FE) and Molecular Dynamics (MD) simulation tool.

Tech Stack, Tools & Environment:
Fortran, C/C++, Mathematica, Matlab, VMware, Fedora OS.

Supervisor: Prof. Dr. Jim Greer PhD
Mentor: Dr. Werner Gyorffy PhD

 

EDUCATION

 

PhD Student

Department of Image Processing and Computer Graphics, Institute of Informatics, University of Szeged

Szeged, HU ▪ Degree not conferred ▪ Sep 2011 - Aug 2014

‘Advanced Methods for Discrete Tomography with Priors and Applications’

We apply and evaluate machine learning methods to obtain information purely from the tomographic projections of an image. We design and implement discrete tomographic reconstruction methods that can exploit the knowledge obtained in this way.

Supervisor: Dr. Peter Balazs

 

M.Sc. in Software Information Technology

University of Szeged

Szeged, HU ▪ Sep 2009 - Jun 2011

Master Thesis: ‘Fuzzy methods in discrete tomography’.

Supervisor: Dr. Peter Balazs

 

B.Sc. in Computer Program Design

University of Szeged

Szeged, HU ▪ Sep 2005 - Jun 2009

Bachelor Thesis: ‘Classification of binary shapes using neural networks’.

Supervisor: Dr. Peter Balazs

 

AWARDS

 

  • Apáczai Csere János PhD Scholarship - National Excellence Programme, Hungary ▪ 2013

  • ‘Outstanding Student of the Faculty of Science and Informatics’
    University of Szeged, Szeged, HU ▪ 2012

  • ‘Fellowship granted by the Republic’
    University of Szeged, Szeged, HU ▪ 2011

  • 1st prize in the Informatics Session of the Scientific Students’ Associations Conference
    University of Szeged, Szeged, HU ▪ 2010

 

SELECTED PUBLICATIONS