Mayank G.

Mayank G.

Java, J2EE, Big Data, Php, Laravel, AWS, Sql, No-Sql, Distributed systems

Sahibzada Ajit Singh Nagar , India

Experience: 11 Years

Mayank

Sahibzada Ajit Singh Nagar , India

Java, J2EE, Big Data, Php, Laravel, AWS, Sql, No-Sql, Distributed systems

60580.3 USD / Year

  • Immediate: Available

11 Years

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About Me

Experience details:

Currently I am working in RoundGlass H2O Pvt. Ltd as Technical Architect.

 I have 11.6 yrs of comprehensive experience in Software  Development and management with expertise in Di...

 Apart from  Distributed computing I have Expertise in Telecom VAS development using php, laravel, lumen,mysql, apache, java, J2ee, XML, XSD, Hibernate, Web-Service basics,Mysql, EJB, JMS,  JBoss Queuing (MQ), Tomcat, Jboss, Ajax, Java-Mail,UML designing tool,  Design patterns, ajax, Java-script, Unit testing and Handling the team. I have experience with client handling and interaction for  requirement capturing from client. I like to accept challenging tasks and doing it successfully.

Herewith, I am enclosing my resume as the first step in exploring  my possibilities of employment with your organisation. I also request you  to acknowledge me for the further processing by any means  of communication. I am eagerly waiting and looking forward for pleasure of hearing from you.

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Skills

Search Engine Optimization ( SEO )

Operating System

Portfolio Projects

Company

collective

Description

User interaction and personalized social media framework

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RISE

https://risefundraiser.com

This initiative was to help non profits to collect money in INDIA and outside

Company

RISE

Contribute

1. Working as Developer 2. Working as Agile Implementer 3. Work as Architect for this product

Description

This is an web based application which is meant to provide a platform for non-profit organizations to
server better for the society. This platform enables the non-profits in the following ways:
❖ Creating a cause/Campaign by which they can collect money
❖ Statistical transparency of donation
❖ Region /state /nation /cause/gender etc analytics for donation
❖ currency wise auto select payment options and intelligence❖


Management and statistical transparency console.
real time search, validation of non-profits etc.
Personal Activity for user based on country, region, interest, donation made,
discussions, posts, commenting, like/dislike etc
Technology: Core Java, hadoop ( Mapreduce, HDFS), Hbase, kafka, google analytics, php, ES-5.3,
complete infrastructure (administration, management, ER2, RDS, Queuing using redis, S3, Media
management, content management)

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PAYMENT SERVICES

https://api.round.glass/payment-service/public/docs

Payment solutions for all RG products

Company

PAYMENT SERVICES

Contribute

1. Working as technical Architect 2. Collecting requirements from all products (13 products) and accordingly designed payment solution for all 3. following Agile and timely delivery

Description

This is an REST based application which is meant to provide a platform for different RG products and
Payment gateways as well as available wallets. This whole process is devided in three steps.
❖ Configure applications/services for payment services
❖ Configure the payment gateway for configured application/services
❖ Initiate payment/subscriptions for services/applications as applicable
Technology: php, Laravel, ES-5.3, AWS, EC2, RDS etc

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Recommender system and Evaluation framework

Predective analylitics for dirrrent products for Samsung

Company

Recommender system and Evaluation framework

Contribute

1. Learn and guide the team to understand distributed computing/big data/AI 2. Developer and Team lead 3. Timely delivery and accommodating all required changes in timely manner

Description

CDRS (Cross Domain Recommendation System): Recommender systems are a subclass of
information filtering system that seek to predict the 'rating' or 'preference' that a user would give to
an item (eg. music, books, or movies) or social element (e.g. people or groups and their social
activity.)Here we have three algorithms:
❖ Music Algorithm (Using CF),
❖ Webapp Algorithm (CBF),
❖ Shortcut algorithm (CF and CBF) (This is hybrid algorithm)
In Evaluation framework we have to develop the online evaluation framework using hadoop to
evaluate the Performance of algorithms based on RMSE, MAE, Precision, Recall, Diversity, coverage
etc. This framework enables user to upload the algorithm and dataset and selects the criteria for
evaluation. We also provides the visualization and reporting of the dataset and results.
Another task was to develop the CF and CBF engines for real time recommendation. Here we are
using Both batch processing using Hadoop and real time processing using Storm. This was based on
the user Current intention and location.
Technology: Core Java, hadoop ( Mapreduce, HDFS ), Hbase, kafka, Zookeeper, ganglia, Content
based filtering, collaborative filtering, New User problem, New Item problem

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Tools

AWS Eclipse