I am a Software Engineer at IBM, specializing in front-end development and user interface engineering for enterprise AI and data platforms. I focus on building robust, intuitive, and scalable web applications that deliver value to end users and align with business goals.
Works in an agile, collaborative environment across software architecture, understanding both front-end and back-end concerns, while specializing in the front-end.
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Works with client-server architectures, networking protocols, application development, and databases. •Uses and develops RESTful APIs and web services. Understands user and system requirements. •Develops using object oriented programming, multi-threading and concurrency.
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Plans, analyzes, designs, and constructs databases. Implements industry standards and best practices for database security and capable of analyzing and defining database and information security requirements.
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Develops structured query language (SQL) queries, back-end database stored procedures, or NoSQL queries.
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Works in programming languages like Ruby, Python, Java, Node.js, server-side JavaScript
Working on IBM Cloud Pak for Data to deploy it as singleton operator on Red Hat Marketplace.
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It manages the lifecycle of any CPD Service on the OpenShift Container Platform in both OLM (OCP 4.x) and non-OLM (OCP 3.11) based clusters.
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Instead of the cluster administrator having to manually install each of the CPD service and apply upgrades or patches, the CPD Operator provides a single facade to Install, Upgrade, Patch and Scale a CPD service.
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It provides a simple CPDService API to do the operations.
Worked on installing IBM Cloud Pak for Data 3.0 on RedHat CodeReady Containers which uses a single node which behaves both as a master and as a worker node.
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Created local storage class on Openshift 4.4 version.
Worked on IBM Cloud Private for Data product to create and deploy machine learning model on the product using docker containers, kubernetes and MongoDB database.
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Created a project for Slack curation to categorize the queries of customers into different categories and displayed in UI using ML models, python scripts, microservices and UI technologies.
