Lineage Logistics project is about warehouse management system, yard management system to manage cold storage efficiently.

Supply chain management for the whole system of manufacturing to warehouse to distribution center to retailer distribution center to retailer.

Mule Api development team: Implement integrations from scratch, bug fixes in mule 4.

Using Mule ESB, Connect to external APIs, transform data using powerful data transformation language, exception handling strategy.

Mule 4 certification, In house project to create Order api for learning mule 4 end-to-end implementation.

Improved performance by 40% by using multi-threading with batch job, bulk insert while migrating APIs in ETL.

Mule 4, RAML specification, Dataweave language, MUnit Test cases

Mule ESB, APIs, Java, Spring, REST, Maven, Encryption

Anypoint studio, Anypoint platform, Cloud hub, Postman, Advanced REST Client

Agile, Sprint, Scrum, Daily stand up meeting, git

Biomedical enterprise application uses huge medical data for various functions and operations.

Search, Filter, Categorization, tagging of medical terms and display useful information.

Patient genome comparison, analysis and visualization.

Implement logging using log4j2 to control the logging timewise, sizewise in the application running with tomcat.

Indexing the data in Solr database for search suggestion and faster search.

Ignore the blacklisted words for highlighting and searching.

Deploy the code changes on AWS and automate the solution using a script.

Process the JSON file and form a new CSV file for better understanding of the data.

Bug fixes in the product as per the requirements.

Java, Spring-boot, JPA, Spring, REST APIs, Tomcat, JUnit

Solr, MySQL

AWS, Ansible, Terraform, Ant

log4j, IntelliJ IDEA, Postman

Built a performance monitoring system that ingests and processes machine logs and generates intuitive visualizations at the real time according to the user configuration.

A web-based application is composed of uploading logs, authoring tool, and graph explorer.

Uploading log is used to store the logs data into the database.

Authoring Tool is used to configuring the data flow using available nodes in Node-Red. The user can create its own complex data flow.

Graph Explorer is used to visualize the data according to the configuration during the selected time range.

Very useful and intuitive system for the workers to visualize the processing of their machine. Such tools can be used in the wide range of industries.

The big data is getting processed, structured using Java engine and indexed in ElasticSearch / Solr.

The processing engine is used to process the configuration along with searching data in the database to generate various charts as per the requirement.

Generation of rules dynamically and applies rules for states of the machine. Predicts defects in the machine using Spark MLlib.