Vivekraj V K

Product Manager

Dharwad, Karnataka, India11 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Ph.D. in Computer Vision with a focus on machine learning.
Experience in developing computer vision systems for industrial applications.
Strong programming skills across multiple languages.

Stackforce AI infers this person is a Computer Vision and Machine Learning specialist with experience in manufacturing technology.

Contact

Skills

Core Skills

Computer VisionMachine LearningFirmware Development

Other Skills

Real-time ProcessingSensor Data ProcessingJavaC++CHTMLSQLJavaScriptMicrosoft OfficeC#ProgrammingMySQLWindowsLinuxCSS

About

I have received Ph.D from Indian Institute of Technology Roorkee, India in the field of Computer Vision. My research involved utilizing machine learning-based techniques for user video summarization. The objective of video summarization is to select important parts of the video into a shorter video called a video summary. I'll be interested in working on projects related to Image/Video Processing, Pattern Recognition and Video Analytics.

Experience

11 yrs 8 mos

Total Experience

2 yrs 11 mos

Average Tenure

4 yrs 4 mos

Current Experience

Indian institute of information technology dharwad

Assistant Professor

Jan 2022 – Present · 4 yrs 4 mos · Dharwad, Karnataka, India

iiitdwd.ac.in

Indian institute of technology, kharagpur

Research Engineer

Jan 2020 – Jan 2022 · 2 yrs

The project envisions developing a computer vision based control of an industrial robot used in the steel manufacturing industry for periodically collecting molten steel samples from the furnace. A machine vision based system is designed for collision detection and tracking the robot in real-time as it performs the designated task.

Computer VisionMachine Learning

National institute of technology karnataka

Assistant Lecturer

Jul 2012 – Dec 2014 · 2 yrs 5 mos · Mangalore

Involved in knowledge dissemination among future engineers. Course Planning, Teaching, Evaluation and Grading.

Intel corporation

Graduate Technical Intern

Jun 2011 – Jun 2012 · 1 yr · Bangalore

The team worked on developing a firmware for sensor chip. The chip contains a variety of sensors (accelerometer, gyroscope, light etc.) controlled by a low power processor. The low power processor will be used for fetching sensor data and processing, whereas the high power processor will be in sleep mode. This setup will help to run context sensing applications which require continuous sensor data. As the high power processor is not involved with sensor data acquisition the stand by time of the device is increased.

Cognizant

Programmer Analyst

Sep 2007 – Aug 2010 · 2 yrs 11 mos · Bangalore

Involved in the development of new services and unit testing. Pro-active
monitoring of services for any discrepancies. Deployment of services in the production environment. Enhancement of existing services as per the customer requirements.