Manish Kumar

CTO

Bengaluru, Karnataka, India11 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 10 years of experience in imaging technologies.
  • Expert in hardware-level optimization for imaging solutions.
  • Proficient in multiple programming languages and tools.
Stackforce AI infers this person is a Computer Vision and Imaging Technology expert with extensive experience in deep learning and optimization.

Contact

m.kumar@samsung.comLinkedIn

Skills

Core Skills

Deep LearningComputer VisionImage ProcessingAndroid Development

Other Skills

ARM AssemblyAndroid app developmentBayer Raw Image compression algorithmBluetooth HID protocolCC++CMakeCUDACamera calibrationDNN model developmentDNN model for HDR imagingData StructuresDeep Learning Demosaicing modelDeep Neural Networks (DNN)Depth estimation

About

Experienced in computer vision, deep learning, image-processing and image compression domains with expertise in hardware level optimization such as GPGPU CUDA and OpenCL programming, SIMD Neon programming for Arm-CPUs. Proficient in C++, Java, Python programming languages & image processing and computer vision tools like OpenCV, TensorFlow. I have 10+ years of experience in imaging technologies and have worked on the development and commercialization of multiple imaging processing solutions on android devices.

Experience

11 yrs 10 mos
Total Experience
11 yrs 10 mos
Average Tenure
11 yrs 10 mos
Current Experience

Samsung r&d institute india - banglore

4 roles

Chief Engineer

Promoted

Mar 2020 – Present · 6 yrs 3 mos · Bengaluru, Karnataka, India

  • Image Segmentation DNN model development and deployment on QCom SoC.
  • Multi-Camera Fisheye Lens rectification and depth estimation.
  • Model deployment on Nvidia Jetson platform.
  • Multi Camera SLAM algorithm development.
  • Birdseye view 2D occupancy map generation.
  • Worked on camera calibration, Developed Stereo depth algorithm for smartphone camera.
  • Designed and developed framework for DNN model integration to android device.
  • Worked on DNN model for HDR imaging with enhanced colors.
Image SegmentationDNN model developmentMulti-Camera Fisheye Lens rectificationDepth estimationModel deploymentMulti Camera SLAM+4

Sr. Lead Engineer

Mar 2018 – Mar 2020 · 2 yrs · Bengaluru, Karnataka, India

  • Led the team to develop and optimize image matting algorithm.
  • Worked on End-to-End Software-ISP Algorithm development.
  • Developed a Deep Learning Demosaicing model ISP pipeline.
Image matting algorithmEnd-to-End Software-ISP AlgorithmDeep Learning Demosaicing modelDeep LearningImage Processing

Lead Engineer

Mar 2016 – Mar 2018 · 2 yrs · Bengaluru, Karnataka, India

  • Development of low complexity Bayer Raw (GRBG) Image compression algorithm for android platform.
Bayer Raw Image compression algorithmImage Processing

Sr. Software Engineer

Aug 2014 – Mar 2016 · 1 yr 7 mos · Bengaluru, Karnataka, India

  • • HEVC based image codec development. Work involved entropy coding, prediciton improvement, OpenCL kernels for optimization.
HEVC based image codecEntropy codingOpenCL kernelsImage Processing

Port indigo

Summer Internship at Port Indigo (startup)

May 2012 – Jun 2012 · 1 mo · Mumbai, Maharashtra, India

  • Developed android app to control phone using external device via Bluetooth HID protocol.
Android app developmentBluetooth HID protocolAndroid Development

Education

Indian Institute of Technology, Kanpur

Bachelor of Technology - BTech — Computer Science

Jun 2009 – Aug 2014

Indian Institute of Technology, Kanpur

Master of Technology - MTech — Computer Science and Engineering

Jan 2013 – Jan 2014

Indian Institute of Technology, Kanpur

Bachelor of Technology - BTech — Computer Science and Engineering

Jan 2009 – Jan 2013

Sainik School Tilaiya

12th (CBSE)

Jan 2002 – Jan 2008

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