Praveen Agrawal

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs 7 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in Augmented Reality and Computer Vision.
  • Published research on face detection using CNN.
  • Developed commercial AR applications for Samsung devices.
Stackforce AI infers this person is a skilled developer in Augmented Reality and Computer Vision technologies.

Contact

Skills

Core Skills

Augmented Reality (ar)C++Unity3dComputer VisionConvolutional Neural Networks (cnn)Data Analysis

Other Skills

AR CoreAlgorithmsArtificial Intelligence (AI)CComputer ScienceData StructuresDigital Image ProcessingHTMLJavaMachine LearningMatlabProgrammingPython (Programming Language)Software Development

Experience

Google

2 roles

Senior Software Engineer

Promoted

May 2024Present · 1 yr 10 mos

  • Making the Google Home Android App better

Software Enginee

Dec 2020Apr 2024 · 3 yrs 4 mos

Samsung r&d institute india - bangalore private limited

2 roles

Lead Engineer

Mar 2019Dec 2020 · 1 yr 9 mos

  • Developed Augmented Reality (AR) applications
  • Developed a C++ engine with a Java wrapper to generate 3D text mesh for any input string irrespective of language & font styles, and commercialized the same in the Samsung Galaxy S20 as a part of the AR Doodle app
  • Demonstrated a proof of concept for an AR Core based android app developed on Unity that allows users to create doodle in the virtual 3D space, which was later commercialized in the Samsung Galaxy Note 10

Senior Software Engineer

Jul 2017Feb 2019 · 1 yr 7 mos

  • Face detection in 360 degree Equirectangular images
  • Designed a cascaded Convolutional Neural Network model trained on Equirectangular images for face detection
  • Accepted for publication in International Conference on Computer Vision and Image Processing (CVIP 2019)
  • Augmented Reality usecases exploration using AR Core as the SLAM engine

Universität paderborn - university of paderborn

Research Intern

May 2015Jul 2015 · 2 mos · Paderborn Area, Germany

  • Utilised images of particles suspended in a fluid between two horizontal glass plates to study fluid flow
  • Developed a fast algorithm for 2D Particle Image Velocimetry (measurement of velocity profile of fluids)
  • Performed particle tracking by developing algorithms for feature point detection and trajectory linking

Education

Indian Institute of Technology, Bombay

Master's degree — Electrical Engineering

Jan 2012Jan 2017

Delhi Public School B.S. City

Intermediate in Science — Computer Science

Jan 2010Jan 2012

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