SummaryJessica, is highly skilled, accomplished IT software developer with strong experience in software design, development and implementation of enterprise billing and order management applications. She is experienced in using JAVA J2EE technologies on Windows platform for reputed organisations and demonstrate strong experience in J2EE technologies such as Spring, JSP, JSON and servlets. Jessica also has good understanding of Python programming. Technical SkillsJ2EE Framework Spring 2.5, Spring 3.0Servers Apache Tomcat 5.0, 5.5Database Tools MySQL, Oracle, Maria DB, SQL Server, NO SQL, PL SQL, SQL Developer, ToadVersion Control GIT.Web services SOAP, REST, UDDI, WSDL.Technologies J2EE (Servlets, JSP, JDBC, EJB, Java Mail), Bootstrap, Spring Batch, Spring Boot, Java, JSON, JUNIT, Python, Oracle, HTML, CSS.IDE Programming Tools Eclipse 3.2, Eclipse 3.3, MARS, NetBeans, Visual studio EducationNew York Institute of TechnologyManhattan,NYExpected inMay 2016 Computer Science-GPA 4.0GPAComputer Science Summa Cum LaudeUniversity of MumbaiMumbai,Expected inMay 2014 Computer Engineering-GPA ExperiencePanjiva-Software DeveloperVirtual,LA,10 2016-CurrentTest Data Management Project Description Test Data Management is a web based application that is used to automate the manual efforts involved in test Data Setup. It helps to synchronize data in different system and has the ability to retrieve smart samples from production data.Responsibilities Designed and Developed notification module using spring framework, Java mail and JDBC Template.Involved in design and documentation of enhancement of scheduled scenario module.Involved in unit testing and integration testing.Provided with daily production support. Attending scrum calls to plan and prioritize the activities.Involved in creating and merging branches in the repository using GIT. Developed stored procedures and triggers using Maria DB Oracle.Worked on deployment of Application.Worked on Build Configuration of Application using Maven.Involved in build and development activities of test environment.Environment Spring Boot, Spring Batch, Java, Apache Tomcat, Oracle, Maria DB, DB2, Jenkins, Maven, Git Pearson-Software DeveloperDover,DE,10 2016-CurrentBilling Automation ProjectDescription Billing Automation is a billing software that is used for validating bills (invoices). It highlights bills that are outliers in comparison to historical data and confirms that data in bills is in acceptable limits.Responsibilities Responsible for identifying defects, correcting defects and verifying defect fixes and quality related activities by utilizing Java, Spring and oracle.Responsible for writing test cases in test driven development using JUNIT and Cucumber.Completed Automation end to end continuous integration pipeline using tools such as Jenkins, Maven, Git and Sonar.Preparing test case and test case results during unit testing.Environment Java, Spring Boot, Spring Batch, Java Scheduler, Tomcat, Rest API, Oracle, Junit, Cucumber, Jenkins, SonarQube, Jfrog, Git, AWS.Skilljar-Software Development EngineerLos Angeles,CA,04 2015-09 2016Purchase Order Management System Project Description Purchase and order Management system is a web based application that is used to sort orders based on lead times. It helps to synchronize data in different database system and has the ability to retrieve available inventory from database.Responsibilities Implemented payment module using Java, Spring Batch, Spring Boot, JSON and JSP.Developed SOAP Web Services for payment module.Created maven archetypes for generating fully functional REST Web Services supporting JSON message transformation.Developed Stored procedures triggers using MySQL and oracle.Installation of Tomcat Server.Involved in Creating and merging branches in Repository using Git.Worked on end to end continuous integration pipeline using tools like Jenkins, Maven, Git and sonar.Environment Java, Spring Batch, Spring Boot, Servlet, JSP, JSON, Webservices, Oracle, MySQL, Maven, Jenkins, Git, Sonar.New York Institute Of Technology-College Project,,2016-04 2016Description This automated software helps in managing details of sales, discounts, payment, products and inventory. It reduces the manual efforts of managing tracks all the details automatically. Developed and implemented tracking module using python and JSON.Implemented Java and JSP and Java mail for alert module. SkillsAJAX, Apache, API, automate, Automation, Billing, Version Control, CVS, Data Management, Database, documentation, Eclipse, Eclipse 3.2, Eclipse 3.3, XML, DB2, IBM Web sphere 6.1, IDE, inventory, J2EE, Java, JSP, JavaScript, JDBC, JDBC 3.0, JNDI, JQUERY, JSON, managing, MARS, mail, MVC, MySQL, Oracle, DB, PL SQL, Order Management, Programming, python, quality, scrum, Servers, Servlet, Servlets, SOAP, Toad, Tomcat, Tomcat 5.0, WebLogic, XSLT  SEP  Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Machine Learning Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what s to come. We re the people helping to define the metaverse. We may not have all the answers. But together, we re getting closer. Software Engineer, Machine Learning - Reality Labs Responsibilities Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the trade-offs of already shipped featuresML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex onlineproduction performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering team Minimum Qualifications 6 years of experience in software engineering, or a relevant field or 4 years of experience if you have a PhD2 years of experience in one or more of the following areas machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in CC and Java, or experience with scripting languages such as Python, Perl, PHP, andor shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsBachelor s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Preferred Qualifications Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applications Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext fb.com.

ATS compatibility score: 27.0 (No Fit)