RIISE is a product developed from scratch for Dubai Customs. RIISE is product to automate the system of Custom Domain. RIISE is an Electronic system to speed up the process from creating manifest to filling declaration, Invoice generation to managing Free Zones and Gate Operation. RIISE Product have more than 30 modules for each module. Product have User managements , Spring Boot , Artificial Intelligence , DMN generation , Rule Engines , UI Component Libraries (Angular 9) to help faster development and Process engines like Cammunda, Docker and kubernetes.Project was developed under Agile methodology with Scrum Jira was used to manage teams. RISSE application was multilingual with Arabic translation to right to left reading experience. Mobile and tablet responsive was also the key feature of this application

Project is to evidence all the reports which are generated in front office desk hierarchy .in this supervisor or delegate can login to system to check if employees under his hierarchy have filled core leave or approve letter of authority also supervisor or his delegate can raise queries employees also attach evidence or can escalate to his manager for the same. Also, along with functionality developed, We developed component library for the bank which in future was going to be used by other team within bank for development purposes.

Development of component library UI - Mobile responsive Component library using angular 6 typescript, less such as grids panels header, Dropdowns navigations containers file upload etc. Published components on Nexus repository for bank for anyone to use.

Building components from scratch in library which should be reusable for different products.

Library contains data grids ,graphs and layouts grids use flex as base css framework.

Involved in Requirement and analysis process to understand other applications inside bank.

Also, I developed ingestion framework to read and save data from excel using java as full stack development

Write robust front-end code with HTML5, CSS3, and JavaScript frameworks and libraries to implement enterprise-class web applications

Participate in code reviews and ensures that all solutions are aligned to predefined design specifications. Participated in Bug thrashing sessions to discuss and resolve bugs in agile process.

Project, is to automate the process of CDD and KYC process using OCR, Machine Learning and automated Chabot to resolve query. After understanding lifecycle of bank process, we put automated process like OCR to read and retrieve data from documents, machine learning to reduce input from stakeholders and fast process. There are some manual paperwork still exist in bank in life cycle of KYC for corporates. .Developed a system for user can access to upload documents required approver can approve or ask questions to user.

Gathering information from all the stakeholder in CDD and KYC cycle of bank. Understanding Process from business analyst.

Development of micro service and UI for solution proposed like reading excel file, upload multiple files to system. Integration between python based OCR and machine learning systems.

Also, I created automated pipeline for smooth deployment of micro services and UI to cloud based server on amazon vm. Configured MongoDB ,nginx and S3 buckets to manage routing between deployed docker containers.

Also, was responsible for code reviewing and manage team of three UI developers.

Fast Search tree is an in memory distributed object tree for fast searching. Tree based fast searching, distribution of Tree in memory across network to different nodes, design data upload, distribution, failover and redistribution topologies, search fields Indexing capability creation.