Shyam Sundar Kumawat
Senior Software Developer at FanClash- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
Shiva Teja Chigicherla
Shyam is very good at Software Engineering right from his college days. We took some classes together and saw his dedication and hardworking nature in person. Can handle pressure in any situation and can deliver. Highly recommended for any organization.
Shiva Teja Chigicherla
Shyam is very good at Software Engineering right from his college days. We took some classes together and saw his dedication and hardworking nature in person. Can handle pressure in any situation and can deliver. Highly recommended for any organization.
Shiva Teja Chigicherla
Shyam is very good at Software Engineering right from his college days. We took some classes together and saw his dedication and hardworking nature in person. Can handle pressure in any situation and can deliver. Highly recommended for any organization.
Shiva Teja Chigicherla
Shyam is very good at Software Engineering right from his college days. We took some classes together and saw his dedication and hardworking nature in person. Can handle pressure in any situation and can deliver. Highly recommended for any organization.
Credentials
-
Android Development Essential Training: Create Your First App with Java
LinkedInSep, 2020- Nov, 2024 -
Collaboration Principles and Process
LinkedInSep, 2020- Nov, 2024
Experience
-
FanClash
-
India
-
Computer Games
-
1 - 100 Employee
-
Senior Software Developer
-
May 2021 - Present
-
-
-
Samsung Electronics
-
South Korea
-
Computers and Electronics Manufacturing
-
700 & Above Employee
-
Software Engineer
-
Jun 2019 - Apr 2021
-
-
-
Meeami Technologies
-
United States
-
Software Development
-
1 - 100 Employee
-
Summer Intern
-
May 2018 - Jul 2018
During my internship, I worked on the project titled " Construction of a Deep Neural Network Model for Source Separation". In this project, I have worked on the instantaneous mixer of clean speech with some background noises at three different SNR values, then Extracted features of mixed speech data with proper labeling of clean speech data and trained neural network for source separation. As per the training of the network model while testing sources are being separated. During my internship, I worked on the project titled " Construction of a Deep Neural Network Model for Source Separation". In this project, I have worked on the instantaneous mixer of clean speech with some background noises at three different SNR values, then Extracted features of mixed speech data with proper labeling of clean speech data and trained neural network for source separation. As per the training of the network model while testing sources are being separated.
-
-
Education
-
2015 - 2019
National Institute of Technology Meghalaya
Bachelor of Technology - BTech, Computer Science -
ALPHA INTRERNATIONAL ACAD. SEC SR SCHOOL JAIPUR
Community
