Rohan B.

Senior Software Engineer

India12 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 5 years of experience at Amazon and Google.
Proficient in multiple programming languages including C and Java.
Strong background in Android Development and Neural Networks.

Stackforce AI infers this person is a Software Engineer with expertise in B2C applications and machine learning technologies.

Contact

Skills

Core Skills

Software DevelopmentAndroid DevelopmentNeural NetworksDeep LearningVideo Quality Estimation

Other Skills

H.264H.265C++Machine LearningAlgorithmsData StructuresMatlabNetworkingNetwork SecurityWindowsEclipseVisual StudioLinuxProgram DevelopmentSQL

About

Currently working as a Software Engineer at Google. I have worked in Amazon for 5+ years and have completed my graduation from Netaji Subhas Institute of Technology, University of Delhi, India. Technology is in my blood, I like to read blogs, forums, about latest technology in the market. Programming and Android Development are my hobbies. I am a decent coder with proficiency in C, JAVA Programming languages, as well as Data Structures and Algorithm. I am a hard working person, and I participate in online competitions whenever I can.

Experience

12 yrs

Total Experience

3 yrs

Average Tenure

4 yrs 7 mos

Current Experience

Google

2 roles

Senior Software Engineer

Promoted

May 2024 – Present · 2 yrs · On-site

Building YT Create. Previously building Actions Extensions on the Gemini Android App

Software DevelopmentAndroid Development

Software Engineer

Oct 2021 – May 2024 · 2 yrs 7 mos · On-site

Assistant with Bard

Software Development

Amazon

Software Development Engineer 2

Feb 2016 – Oct 2021 · 5 yrs 8 mos · Bengaluru Area, India

Sending the best recommendations to customers via Push, Email and other various sources :)

Software Development

Interra systems

2 roles

Software Engineer

Jul 2015 – Feb 2016 · 7 mos · Noida Area, India

Member of Baton Video Quality R&D Team.
Researching on techniques to improve the Text Recognition in Videos, using Neural Network, and Deep Learning.

Neural NetworksDeep Learning

Software Engineer Internship

Jun 2014 – Jul 2014 · 1 mo · Noida Area, India

Estimated Video Quality (using probability model) of H.264 and H.265(HEVC) Encoded Video Streams at the receiver side without having access to the original
RAW Video files. Encoded videos were subjected to different types of loses (I, P, B-slice loss),
and their video qualities in different profiles were studied. Implemented the code to
calculate the Video Quality in the HEVC decoder of INTERRA SYSTEMS and in H.264 Reference
Decoder.