About Me

I am working as Data Scientist at Flipkart. My primary focus is the automation of quality check process of Catalog data. I have worked on several projects like Image Super-Resolution, Object-detection and Information Scoring Platform.

I have done MS (by Research) in Computer Science and Engineering from IIIT-Hyderabad. I worked as a research assistant at Center for Visual Information Technology (CVIT), under the guidance of Prof. C. V. Jawahar and Dr. Ramanathan Subramanian. As part of my program, I have studied Machine learning, Computer Vision and Optimization Methods subjects. Besides my research work, I have developed a web based internal training portal for CVIT lab and I am one of the admins of a GPU Cluster (12 Nvidia TitenX, Nvidia Tesla K40) .

I have worked as Software Engineer at Samsung Research Institute, Noida(India) for 2 years. I have worked on Android Telephony Framework, Radio Interface Layer(RIL) , Analyzing/Resolving problems related to Call, Network Registration, Messages etc

I have also published several android applications on Google Play Store with total 3,00,000+ downloads.

Education

Aug 2015 - Present

MS by Research in CSE

International Institute of Information Technology, Hyderabad
CGPA : 8.67 / 10.0

Jun 2009 - May 2013

B.Tech

Institute of Technology, Nirma University, Ahmedabad
CGPA : 8.2 / 10.0

Jun 2008 - May 2009

12th

Gujrat Secondary and Higher Secondary Board of Education
91.8 %
6th rank at district level (Rajkot)

Jun 2008 - May 2009

10th

Gujrat Secondary and Higher Secondary Board of Education
91.38 %

Experience

July 2018 - Present

Data-Scientist,
Flipkart, Bangalore

  • Working in the Catalog team to automate the quality check operations

Jan 2018 - May 2018

Intern,
Goldman Sachs

Aug 2015 - Dec 2017

Research Assistant,
CVIT Lab, IIIT Hyderabad

  • Worked as a research assistant at Centerfor Visual Information Technology (CVIT), underthe guidance of Prof. C. V. Jawahar and Dr Ramanathan Subramanian.

  • Admin of a GPU Cluster(12 Nvidia TitenX, Nvidia Tesla K40)

Jun 2013 - Jul 2015

Software Engineer,
Samsung R&D Institute, India

  • Worked on Android Telephony Framework, Radio Interface Layer(RIL) , IMS Interface Layerfor flagship models like Galaxy S5, S6 and Note 4

  • Worked on-site in USA for various flagship projects of Samsung for U.S. Cellular
  • and Sprin

Dec 2012 - May 2013

Intern,
Samsung R&D Institute, India

  • Made prototypes of Android applications and worked on Android Telephony Framework

May 2012 - Jul 2012

Intern,
Azoi Inc.

  • Implemented a channel finder application in OpenCV.

  • Developed a prototype to demonstrate the working of grid navigation User Interface using Kinect

Projects

PROJECTS DURING INTERNSHIP

  1. Gesture Reorganization for specially abled people
    • Platform: JAVA
    • Hardware: Microsoft Kinect, prime sense
    A gesture recognition system for specially abled people to help them to interact efficiently. System contains predefined set of gestures. On recognition of particular gesture a callback is generated and voice clip associated with gesture is played
  2. Image Grabbing From TV-Tuner card of web came for Android platform
    • Platform: Android, C, JAVA
    TV tuner card is connected to android enabled device [tablet /smart phone/ panda board]. Fetching Image buffer form video device using Video4linux library and saving it to use in other application
  3. Channel finder application
    • Platform: JAVA
    This is Active content recognition software. This consists of two parts. A Client application running on client machine and a server. That will find out which channel is running on client
  4. Interactive Android Assistant
    • Platform: Android, JAVA
    This is an Android application. An animated boot is presented on the screen. This will interact with user via voice commands and feedback. Proper animation is presented based on voice command and situation.

HOBBY PROJECTS

  1. Home automation system using Raspberry PI
    • Platform: Python and C++
    • Hardware: Raspberry PI
    Link Youtube Video

Publications

  1. Viral Parekh, Ramanathan Subramanian, C. V. Jawahar "Eye Contact Detection Via Deep Neural Networks", HCI International 2017, DOI: 10.1007/978-3-319-58750-9_51, link

  2. Viral Parekh, Dipanjan Roy, Ramanathan Subramanian, C. V. Jawahar "An EEG-based Image Annotation System", NCVPRIPG 2017

  3. Viral Parekh#, Pin Foong#, Shen Zhao and Ramanathan Subramanian "AVEID: Automatic Video System for Measuring Engagement In Dementia", IUI 2018 (# indicates equal contribution)

  4. Viral Parekh, Maneesh Bilalpur, Shravan Kumar, Stefan Winkler, C. V. Jawahar and Ramanathan Subramanian "Investigating the Generalizability of EEG-based Cognitive Load Estimation Across Visualizations", ICMI 2018

Resume

Download from here