Nishant Rai

Lead ML Engineer

Bengaluru, Karnataka, India12 yrs 11 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Experienced in Machine Learning and Mobile Development.
  • Proven track record in enhancing software applications.
  • Strong background in Android and Web technologies.
Stackforce AI infers this person is a Mobile and Machine Learning Developer with expertise in Consumer Electronics.

Contact

nishantiiiitm@gmail.comLinkedIn

Skills

Core Skills

Machine LearningPythonSoftware EngineeringWeb DevelopmentMobile DevelopmentAndroid

Other Skills

Android DevelopmentCC++Classification modelDatabasesERPFeature EnhancementsGenerative AIHTMLImage ProcessingJavaJavaScriptKotlinLinuxMicrosoft Excel

Experience

12 yrs 11 mos
Total Experience
6 yrs 5 mos
Average Tenure
11 yrs 4 mos
Current Experience

Adobe

Senior Machine Learning Engineer

Feb 2015 – Present · 11 yrs 4 mos · Bengaluru, Karnataka, India

Machine LearningPythonTensorFlow

Samsung r&d institute india

2 roles

Senior Software Engineer

Jul 2013 – Feb 2015 · 1 yr 7 mos · Noida

  • Native Web Browser for Smart TV
  • Worked on Webkit Rendering Engine
  • Feature Enhancements in Webkit used as a Rendering Engine in Samsung Native Browser and TV Apps.
Webkit Rendering EngineFeature EnhancementsSoftware EngineeringWeb Development

Application Developer Intern

May 2012 – Aug 2012 · 3 mos · Noida Area, India

  • 1. System Monitor Android Mobile App
  • Monitors CPU, the Memory usage of System, Apps, and Services.
  • App Timer display on system screen monitors time spent on each app and services.
  • 2. Washing MC Controller Smart TV App.
  • You Relate Smart TV App - A learning image-based quiz app for kids.
Android DevelopmentSystem MonitoringMobile DevelopmentAndroid

Flick2know

Mobile App Developer Intern

May 2011 – Jul 2011 · 2 mos · Gurgaon, India

  • Enhancing the Quick Response Code Detection Algorithm and its Implementation in Android
  • (Mr. Apurv Gupta and Prof Anupam Shukla, ABV-IIITM)-----
  • Working QR code detection through edge detection in Image Processing.
  • Designing an android application to detect and decode QR code. Handling decoded results as Information for student information system, library management system, etc.
QR Code DetectionImage ProcessingMobile Development

Education

ABV-Indian Institute of Information Technology and Management

Integrated Post Graduation(B.Tech+M.Tech) — Information Technology

Jan 2008 – Jan 2013

Stackforce found 100+ more professionals with Machine Learning & Python

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