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Software Engineer Project

Location:
Vasant Nagar, Karnataka, India
Salary:
20000
Posted:
April 17, 2020

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Resume:

Vinay Kulkarni

Personal Data

Place and Date of Birth: Hubli, Karnataka, India 01 Nov 1995

Address: No 203, Shriguru Heritage, Dharwad, Karnataka, India Phone: +91-973*******, 866*******

email: adcuea@r.postjobfree.com

Career objective

“To pursue a challenging career and be a part of progressive organization that gives a scope to enhance my knowledge and utilizing my skills towards the growth of the organization”. Project Experience

Minor Project “ A minimum viable product, social networking portal”. Sep 2016-Mar 2017 In the course of this project Our aim was to develop a MVP for a social networking site which helps in identifying user interest,classify images and categories them using image curation technique and also provide market place for vendors.The project was divided in three Modules.

In this project we have created a login page to authenticate the user and also used curation methods to group the similar images and create tabs of their own interest, and also provided a platform where if the user is interested on any image and he can integrate this image with any product on other site this is done through the aggrement with the marketing web services.

Languages Used Django,HTML,CSS.

Capstone Project “To Generate Possible Future Frames Depending Upon Previous Frame In The Context”

AUG 2017-MAY 2018 Here in the course of project we mainly worked on the two main concepts of machine learning called as RNN (recurrent neural network)and CNN(Convolution neural network) and LSTM (Long Short Term Memory)which we have used instead of RNN. We basically divided this project into three Modules such as : Module 1: Image Caption Generation

Here in the first module we have generated a Caption for the image using LSTM and stored it in a file for the future use.

Module 2: Text Sequence Generation

Here text sequence from the file stored is taken and feeded as the input the LSTM again to predict the future text based on the history to predict the random text. Module 3:Image Sequence Generation

Here the random predicted sentence is again given as the input to the LSTM to predict the final image.

Database used Used image database MSCOCO which is a large-scale object detection, segmentation, and captioning dataset.

Packages used Python packages such as Keras, Tensorflow, Numpy, Scipy. Languages Used Python

Professional Experience

Company Agathsya Technologies.

Role Associate Software Engineer.

Duration From Jan 2019 till now

Responsibilities To develop a E-Commerce website using Magento Framework. My Tasks

To study and decide which version of the Magento to be used to build the System. Installing the framework in the local machine for the development process. Finding out the themes suitable for the project.

Installing the theme on both local-machine and on the servers such as (AWS and IBM). Adding and configuring all the E-commerce functionalities such as Adding prod- ucts(Simple,Configurable,Grouped,Virtual,Bundle,Downloadable Products),Setting Taxes, Creating Coupons,Setting Catalog Price and Cart Price Rules,Payment Integration,Email Integration.

Customization of the Theme based on requirement.

Installing the extensions through FTP.

Cloning the site from Staging to Production environment. Taking regular Backups.

Also worked on developing the social tagging website which allows citizents to- tag them self for any social events happening using the web technologies such as HTML,CSS,anjular js And PHP for the backend, where i was assigned to build the registration pages and the dashboard of the application. Version Used Magento 2.2.6.

Education

June 2018 Undergraduate Degree in Information Science and Engineering B V Bhoomaraddi College of Engineering and Technology, Hubli Autonomous under Visvesvaraya Technological University, Belgaum CGPA: 6.4/10.

May 2014 Department of Pre-University Education Board, Karnataka Gurukula PU College, Kundapur.

Percentage: 77.00.%

May 2012 Karnataka Secondary Education Examination Board K.E.Boards High School, Dharwad.

Percentage: 68.32.%

Programming Skills

• Programming Languages: C, C++, Java, SQL.

• Web Technologies: HTML, CSS, AnjularJS.

Computer Skills

Basic Knowledge: mysql, Linux, ubuntu,

Achievements

• Had been a volunteer for “Smart India Hackathon”, conducted by government of india .

• Attended workshop on “SEBI”, held on 3rd – 4th February 2017 in BITS Pilani, Goa.

• Represented ”Dharwad Football Team”in district and division level matches.

• Represented ”Football Club Dharwad” as a captain in inter club matches Languages

kannada: Mothertongue

English: Fluent

Hindi: Fluent



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