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Syed Faisal Ali

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Last update: 15.02.2018

Software Developer (C++ DICOM Medical Imaging)

Graduation: Masters in Science & Technology (Medical Software)
Hourly-/Daily rates: show
Languages: English (Native or Bilingual) | Hindi (Limited professional)

Skills

  • Proficiency in Object Oriented Programming languages.       
  • Hands on experience in C++, MFC, DICOM, GDCM, DCMTK, OpenCV and ITK & VTK.
  • Working knowledge of QT, C#, HTML, Java & Java Scripts and NSIS Installer.
  • Skilled in Visualization tool kits (ITK, VTK MATLAB and OpenCV for Image Processing).
  • Expertise in HIS, RIS and PACS with insight knowledge on healthcare modalities.
  • Cohesive team worker, having strong analytical, problem solving and interpersonal skills. Strong collaboration & team building skills with proficiency at grasping new concepts.

Project history

Company: ARC Surgical Limited                           Orlando, USA | Work Location: Bangalore
Position: FreeLancer| Duration:  May 2017 – August 2017 | Domain: Healthcare - Medical Imaging
Product: Surgical Assistance Viewer
Responsibilities:
  • Developed a VTK based image viewer with all basic functionalities and user defined surgical assistance for a user guided neuro based surgical procedures.
  • Viewer Features: Image Reslicing with volumetric synchronization, Multiplanar Reconstruction, MIP: Maximum/Minimum Intensity Projection, Composite MP, 3D Volume rendering, Annotations, Labeling, User defined interactions and Measurement widgets.
Languages/Middleware:  C++, QT    |    Image Processing Libraries: ITK & VTK, GDCM, and DCMTK 
Development Platform: Visual studio 2010, 2012, 2015

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Company: NAISH Solutions Private Limited                                        Bangalore, India
Position: Senior Software Engineer | Duration:  May 2016 – till date | Domain:  Medical Imaging
Client Site: Bio-bot International Surgical Pte Ltd, Singapore     | Work Location: Singapore
Product: iSR’obotMona Lisa
The iSR’obotMona Lisa robot is used for early accurate Prostate cancer detection through systematic diagnosis, it provides surgeons with complete prostate coverage while accurately guiding the biopsy needle through only two skin punctures in the perineal region, thus reducing infections rate drastically. The image-guided system enables the targeted location to be pin-pointed with an accuracy rate of ±1.0mm, enabling early detection of prostate cancer.
Responsibilities:
  • Participate in Software documentation, design & development of the wireframes, robot integration and testing, bug fixing in existing codes. Co-ordinated with Manufacturing Team for Software Release and Product Manufacturing. Co-ordinated with multi-geographical team during software development.
  • Implemented DICOM Interface to communicate with PACS sever for iSR’obot™ Mona Lisa.
  • Made use of open source toolkits such as ITK, VTK, DCMTK and GDCM for designing and developing algorithms with respect to visualization framework and rendering of the DICOM Images for UroBiopsy (Ultrasound) and UroFusion (MRI) image guided applications.
  • NSIS Installer: Developed installer framework for UroBiopsy and UroFusion applications as per user defined requirements.

Local Availability

Only available in these countries: India
Flexible as per the project requirements
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