Abhishek Tiwari
Bangalore Urban, Karnataka, India--
linkedin.com/in/tiwaria9034
Summary
Experienced engineer with a demonstrated history of AI application in (medical) Image Processing & Computer
Vision problems.
Experience
Module Lead - Computer Vision
Vimaan Robotics,India
Jun 2020 - Present (1 year +)
- Application of CV & AI techniques for Image Classification, Object Detection, Instance & Semantic
Segmentation problems.
- Tools: Python. PyTorch, TensorRT, OpenCV, Intel RealSense SDK
Senior Software Engineer
GE Healthcare
Dec 2018 - Jun 2020 (1 year 7 months)
- Development & commercialization of AI-related medical imaging applications targeted towards
Intelligent MR Scanner.
- Tools: C++, Python, Docker, ITK, Micro-services, Linux
Technical Lead
Samsung Electronics
Feb 2018 - Dec 2018 (11 months)
- Research and development of image analysis algorithms for segmentation and quantification of
musculoskeletal ultrasound datasets.
- Tools: C++, Python, ITK
Lead Engineer
Samsung Electronics
Mar 2016 - Jan 2018 (1 year 11 months)
- Developed image segmentation and quantification algorithms for cardiac ultrasound datasets.
- Tools: C++, Python, Caffe, ITK, VTK, Scikit-Learn
Senior Software Engineer
Samsung Electronics
Jul 2014 - Feb 2016 (1 year 8 months)
- Developed image segmentation and quantification algorithms for cardiac ultrasound datasets.
- Tools: C++, Python, Caffe, ITK, VTK, Scikit-Learn
Abhishek Tiwari - page 1
Summer Research Intern
Philips
May 2012 - Jul 2012 (3 months)
- Segmentation & quantification of lesions for BI-RADS classification from 2-D Ultrasound B-Mode &
Elastography Images
- Tools: MATLAB Image Processing Toolbox
Education
Indian Institute of Technology, Kanpur
B.Tech - M.Tech Dual Degree, Electrical Engineering
2009 - 2014
Skills
Python (Programming Language) • C++ • Computer Vision • Artificial Intelligence (AI) • PyTorch •
OpenCV • Docker Products • Linux • ITK • Scikit-Learn
Honors & Awards
Samsung Best Paper Award 2017 : Merit Award - Samsung Electronics
Oct 2016
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