Abhishek Tiwari

AI Researcher

India16 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in AI applications for medical imaging.
Proven track record in image processing and computer vision.
Strong background in algorithm development for healthcare.

Stackforce AI infers this person is a Healthcare AI Engineer specializing in image processing and computer vision.

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Skills

Core Skills

Computer VisionArtificial IntelligenceMedical ImagingImage AnalysisAlgorithm DevelopmentImage SegmentationImage Processing

Other Skills

AlgorithmsCC++CaffeDigital Image ProcessingDockerElectrical EngineeringITKIntel RealSense SDKLinuxMATLAB Image Processing ToolboxMatlabMicro-servicesOpenCVPyTorch

About

Experienced engineer with a demonstrated history of AI application in (medical) Image Processing & Computer Vision problems

Experience

Kla

Engineer Artificial Intelligence 4

Jan 2022 – Present · 4 yrs 2 mos

Vimaan

Module Lead - Computer Vision

Jun 2020 – Jan 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India

Application of CV & AI techniques for Image Classification, Object Detection, OCR, Instance & Semantic Segmentation problems.
Tools: Python. PyTorch, TensorRT, OpenCV, Intel RealSense SDK, Docker

PythonPyTorchTensorRTOpenCVIntel RealSense SDKDocker+2

Ge healthcare

Senior Software Engineer

Dec 2018 – Jun 2020 · 1 yr 6 mos · Bengaluru, Karnataka, India

Development & commercialization of AI-related medical imaging applications targeted towards Intelligent MR Scanner.
Tools: C++, Python, Docker, ITK, Micro-services, Linux

C++PythonDockerITKMicro-servicesLinux+2

Samsung electronics

3 roles

Technical Lead

Feb 2018 – Dec 2018 · 10 mos

Research and development of image analysis algorithms for segmentation and quantification of musculoskeletal ultrasound datasets.
Tools: C++, Python, ITK

C++PythonITKImage AnalysisAlgorithm Development

Lead Engineer

Mar 2016 – Jan 2018 · 1 yr 10 mos

Developed image segmentation and quantification algorithms for cardiac ultrasound datasets.
Tools: C++, Python, Caffe, ITK, VTK, Scikit-Learn

C++PythonCaffeITKVTKScikit-Learn+2

Senior Software Engineer

Jul 2014 – Feb 2016 · 1 yr 7 mos

Developed image segmentation and quantification algorithms for cardiac ultrasound datasets.
Tools: C++, Python, Caffe, ITK, VTK, Scikit-Learn

C++PythonCaffeITKVTKScikit-Learn+2

Philips

Summer Research Intern

May 2012 – Jul 2012 · 2 mos · Bangalore, India

Segmentation & quantification of lesions for BI-RADS classification from 2-D Ultrasound B-Mode & Elastography Images
Tools: MATLAB Image Processing Toolbox