Freelance-Web Development and Management Resume CA - Hire IT People

SUMMARY

Familiar with standard web development and testing tools and resources like Angular JS, Java Script, Twitter Bootstrap, Creately, HTML5, JSLint, Webstrom, Jasmine and Karma
Hands on experience in Android studio to create android application using REST services, Four square API, Google Maps API and Alchemy API
Experience of instance deployment in different cloud platforms such as Microsoft Azure, Amazon Web Services, Google Cloud Platform and GENI portal
Depth level of understanding in the strategy and implementation of AWS cloud - specific technologies like Elastic Compute Cloud (EC2), Simple Storage Services (S3), Route 53, Cloud Formation, Elastic IPs, Virtual Private Cloud (VPC), RDS, Cloud Watch, Dynamo DB, IAM, Bean Stalk, Cloud Front, API and Elastic Load Balancers(ELB) to implement fault tolerance
Experience in creating databases with Amazon RDS with the backups stored in Amazon Simple Storage Service (S3) buckets
Knowledge of selecting the appropriate AWS service and using Cloud Watch for monitoring the server performance

TECHNICAL SKILLS

Java, C, C++, Python, HTML5, CSS and Android: MYSQL, MongoDB, Dynamo DB
Algorithms, Data Structures, OOP's, Rest services and Networking topologies: Microsoft Office
Junit Testing, Webstrom, Brackets, Zenhub and Matlab: Eclipse, Android Studio, GIT, Rational Rhapsody, Bootstrap, MVC: Amazon Web Services, Docker, VMWare, SDN

PROFESSIONAL EXPERIENCE

Freelance-Web Development and Management

Confidential, C A

Responsibilities:

Per the demand of the client developed website which included all side menu icons and reservation forms using node JS
Used various API's to trace the location for easy pickups and evaluated the performance using Y-slow and Firebug

Technologies: Java, Wordpress, Rest Services, Nodejs, Testing Tools, AngularJS

Research Assistant

Confidential

Responsibilities:

Designed 'Name Entity Recognition' system for automated identification of named entities in a document using NLP and Naive Bayes classifier and achieved the highest classification accuracy of 88%
Depicts the context of the word used in the sentence and separates it from double context words using NLP toolkit
Mechanized system using Natural Language Processing in Python

Technologies: Natural Language Toolkit, POS Tagger, Naive Bayes, Python, Well trained dataset, High charts

Associate Engineer Intern

Confidential

Responsibilities:

Designed an 'Effectual Sentimental analysis system' which gave an automated feedback mechanism by collecting data from microblogging sites such as Twitter, Facebook Feedback and classified as positive, negative or neutral

Technologies: Twitter4j, Python, Natural Language Toolkit, Wordnet, Support Vector Machine