Avneeshwar Singh

Digital Manufacturing Execution

Implemented in : GoLang, NestJs, TypeScript

Database : HANA Database, PostgreSQL

Digital Manufacturing enables companies to integrate and embed intelligence in manufacturing processes. DM execution covers all aspects of the manufacturing execution cycle from planning to shop floor and beyond. This product has many web services developed in GoLang and NestJS,Typescript to facilitate UI component of this application.

• Developed cloud-to-edge SFC execution sync using Kafka and goLang .
• Responsible for conducting the Proof of Concept (POC) for implementing Consumer for WorkerUI. Which consumes event of whenever any employee left the company consumer delete respective entry in db table and notify admin.
• Ensure solid, minimal-defect code by performing unit testing with Cypress test cases for UI application and Ginkgo framework for application developed in GoLang through rigorous integration testing of entire application.
• Developed various API in NestJs which interact with worker UI
• Developed Mid-column layout and SFC execution main functionality start complete and quality part for which I got appreciation by team members.

EABM (Enterprise Asset Based Model)

Implemented in : Java EE, SAPUI5

Database : HANA Database, PostgreSQL

Enterprise Asset Based Model created to reflect objects and object hierarchies as needed in Manufacturing Industries. It is a PaaS (Platform as a service) project which provides a platform to developers to build their application or software (Software as a Service - SaaS) on top of it. This product has many web services developed in REST and ODATA to facilitate other teams to build their applications.

• Designed multiple micro-services and did implementation for the same using Java, Spring boot and other cloud technologies and automated those using Scripts.
• Responsible for conducting the Proof of Concept (POC) for implementing Liquibase in the EABM Project. Additionally, I led the end-to-end implementation of Liquibase for EABM, enabling efficient and secure database changes from development to production.
• Ensure solid, minimal-defect code by performing unit testing with Junit test cases and through rigorous integration testing of entire application.
• Designed and implemented Chat Bot using ML to answer most of the queries of users related to EABM , which helped to reduce no of consulting incidents significantly.
• Performed various application security fix activities to reduce security risks and maintain quality of the product.
• Performed DoD (Developer on duty) activity based on scheduled roaster and have handled many internal, stakeholder and customer incidents, monitor live apps.

SAP IOT Enablement (Team- Core Services)

Implemented in : Java EE, NodeJS, SAPUI5

Database : HANA Database

The SAP Internet of Things (IoT) Application Enablement services represent network of physical objects known as things that are used to collect and exchange data. It helps to set up thing model, companies, and service personnel in company and their relationships. It also provides collection of REST-based services to store and retrieve data efficiently for thing, company, and service personnel.

• Designed multiple micro-services and did implementation for the same using Java, Spring boot and other cloud technologies and automated those using Scripts.
• Responsible for Proof of Concept (POC) for Phosphor support in the Abstract Model Project and the Thing Model Project. Additionally, I led the end-to-end implementation to handle and minimize open-source software security risks.
• Performed DoD (Developer on duty) activity based on scheduled roaster and have handled many internal, stakeholder and customer incidents, monitor live apps.
• Ensure solid, minimal-defect code by performing unit testing with JUnit test cases and through rigorous integration testing of entire application.

• Tata Global Beverages Limited (TGBL)
• Technologies: Java, Java EE, Spring REST Web Services
• Database: SAP HANA
• Developed microservices and implemented APIs using Spring
• Created test data for end-to-end scenario testing
• Ensured code quality through unit testing with JUnit
• Served as the Single Point of Contact (SPOC) for customer incident handling

Twitter Stream Analysis

Implemented in : Java, Java EE

Database : Neo4J

The project was based on exploring various information from Twitter data like hashtags, users, tweet texts etc. Created a graph based on these connected and disconnected nodes and extracted valuable information from twitter data like common topics, tweets etc. with common language, hashtags, followers & connectivity of a user with other user.