Deeban Ramalingam

Experience

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  Idaho Digital Learning Academy

  Feb 2012 - Jun 2014

  Software Engineering High School Intern

  Developed dynamic web applications to complement online education in the state of Idaho.Past Accomplishments (organized chronologically from present to past):Developed a web application that periodically launches a thread that recurses through an Amazon S3 Bucket, extracts external links from html files, and persists those links in a NoSQL database. The application user interface allows administrators to search for external links and analyze line charts representing the size of the link's respective document versus time. If repeat links are statistically different from previously-persisted, identical links, the application will notify the administrator via email. The web application structure is organized using the Django Python Web Framework.Developed a web application that allows IDLA Administrators and Lesson Developers to upload to and download educational software packages from an Amazon S3 Bucket, and also allows administrators and developers to browse and view files in the bucket. Rendered the bucket as a collapsible tree to enhance the usability of the interface. Setup Apache Tomcat Server on Amazon EC2 Linux instance and uploaded web archive built with Maven containing the web application to the Tomcat Server. Used Spring Model-View-Controller for server-side.Developed a Module for Moodle Learning Management System that allows teachers and administrators to search through educational resources from a Brainhoney course management repository and embed a selected resource into course content. Presented to the Idaho Senate Committee of Education as an Intern Representative and former student of Idaho Digital Learning Academy and received letter of recommendation from Senator.Developed a Building Block for Blackboard Learning Management System that allows teachers and administrators to search through educational resources from a Brainhoney course management repository and embed a selected resource into course content. Show less

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  WhiteCloud Analytics

  Jun 2014 - Aug 2014

  Software Engineering Intern

  Developed 2 major components of a Healthcare Analytics Web Application.Administration Custom Metrics: allows administrative users to edit Healthcare-related metrics.Metrics Help Library: serves as a library of all available metrics where users may learn about information pertaining to these metrics.Exposed to Agile Development and participated in daily SCRUM meetingsUsed Spring MVC on the server-side, Angular JS on the client-side, MySQL for the database, JUnit and Jasmine for unit testing, Maven for build management, and Jenkins for continuous build monitoring. Show less

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  Independent Research (Cornell University - Spring 2015) with Professor Graeme Bailey

  Jan 2015 - May 2015

  Independent Researcher

  I was a lead software developer for a Masters in Engineering Web Application-based Research Project among several graduate students. I developed and implemented a real-time broadcaster/subscriber event-driven communication framework. I received an A+ grade for my contribution to the research project.The web application is currently being used to investigate interactions within an orchestra by studying the subtleties of inter-orchestral communication between musicians during a performance. The research project is being done jointly with Oxford University.Details about the Web Application Research Project:Project MERID (Media Enabled Research Interface and Database)MERID enables researchers to run surveys and research investigations with respondents, online. Respondents primarily comment and annotate on video / audio added by researchers, per researchers' surveys.Used SocketIO to build real-time newsfeed framework for system using professional-level software engineering principles.Used NodeJS and MongoDB for Web Application Back-End.Used HTML, CSS and JavaScript for Front-end User Interface.Set up an Amazon EC2 instance in the cloud for the web application hosting. Show less

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  Hewlett-Packard Inc.

  May 2015 - Aug 2015

  Software Engineering Intern

  I worked as a Software Engineering Intern at the HP Fleet Management Solutions R&D Lab.Product:JetAdvantage Management (JAM) allows Clients to centrally, remotely manage their fleet of print devices over a network. Users interact with a Web User Interface that is being served from a remote cloud instance. The remote cloud instance hosts the actual server-side application (JAM). Based on particular requests from the Web UI, JAM sends down requests from the cloud to a client proxy (JetAdvantage Management Client - JAMC) in some customer environment. JAMC, based on the request type, either reports printer details back to the server to be rendered in the Web UI or forwards commands to Plugins to execute specialized tasks within the client domain and asynchronously report feedback to the JAM.Project:I developed a plugin feature for the HP JetAdvantage Management that allows customers to make changes to the configuration file of any JAMC. This configuration file is critical for effective communication between JAM and JAMC.Project comprises of 3 major componentsComponent 1I developed a Managed Extensibility Framework (MEF) Plugin that writes parametrized content received from the server to the client's configuration file.Component 2I developed a Web UI that allows users to edit values of the configuration file.Component 3I wired Components 1 and 2 to the cloud web app by developing the necessary server-side components to handle synchronous requests from the Web UI and asynchronous requests from the JAMC's MEF Plugin.TechnologiesUsed C# to write the MEF pluginUsed C#, MongoDB, and SQL (Oracle dialect) for the server-side components (wrote web controllers, business logic components, data repositories, and data stores)Used AngularJS (HTML, CSS, and JavaScript) for the front-end web UIUsed Tigase to handle XMPP RequestsTest-Driven Development: Created C# Unit Tests for server-side components and MEF plugin Show less

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  NVIDIA

  May 2016 - Aug 2016

  Software Engineering Intern

  Worked on NVIDIA Grid NetworkDesigned and implemented tool to debug Grid Network clusters.Designed and implemented pipeline to handle efficient deployments to storage service in cluster.

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  Microsoft

  May 2017 - Aug 2017

  Software Engineering Intern

  Worked as a software engineering intern on the Software Load Balance Team under Azure Networking R&D.Designed and implemented a proof-of-concept for Multi-tenant Container-based Layer 7 (Application Level) Load Balancing as a Service.Presented optimality of proof-of-concept to Azure Networking.

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  Microsoft

  Aug 2018 - Mar 2019

  Software Engineer

  Developed software for the networking infrastructure of the Microsoft Azure cloud.

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  Idaho Digital Learning

  May 2019 - Sept 2019

  Remote Part-time Contracted Software Consultant from California

  Developed software to complement online education for the state of Idaho.

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  SLAC National Accelerator Laboratory

  May 2019 - Aug 2019

  CryoEM & Bioimaging Research Intern

  Developed Machine Learning methods for Cryogenic Electron Microscopy.

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  UCLA Integrated Sensors Laboratory

  Sept 2019 - Jun 2020

  Graduate Research Assistant

  Developed Machine Learning methods for millimeter-wave sensing. 2 Papers published in IEEE Sensors Letters 2020 Journal. Both publications have also been posted in the UCLA Integrated Sensors Laboratory website (Department of Electrical and Computer Engineering). A poster was published on my IEEE Research Paper. My IEEE Research Paper was published in the 2020 IEEE SENSORS Conference.

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  UCLA Bio- & Nanophotonics Laboratory

  Sept 2019 - Dec 2019

  Graduate Research Assistant

  Optimized the preprocessing of biological image data for Machine Learning methods.

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  SLAC National Accelerator Laboratory

  May 2020 - Aug 2020

  LCLS Research Intern

  Developed Machine Learning methods for X-ray Free-electron Lasers. I presented my research to Dr. Mike Dunne, Director of LCLS. The publishing of the poster and paper are in progress. A slide highlighting the research was submitted to Stanford-SLAC for the Science Advisory Committee talk.

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  Idaho Digital Learning

  Jan 2021 - Jul 2021

  Remote Contracted Software Consultant from California

  Developed software to complement online education for the state of Idaho.

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  Columbia University in the City of New York

  Sept 2021 - Jan 2023

  Graduate Research Assistant

  Conducted research related to machine learning and biology.

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  Procter & Gamble

  May 2022 - Sept 2022

  R&D Data Science PhD Intern

  Developed Machine Learning methods for understanding consumer behavior with haircare products.

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  Idaho Digital Learning

  Jan 2023 - Feb 2024

  Remote Contracted Software Consultant from California

  Developed software to complement online education for the state of Idaho.

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  SLAC National Accelerator Laboratory

  Apr 2024 - Nov 2024

  Machine Learning & Computer Vision Software Engineer