Grader - Database Design and Modeling

• Aug 2023 - Present

Software Engineer

• Aug 2020 - Aug 2022

Worked on developing application in financial domain for matching payments and remits to the invoices which includes analyzing, developing and testing new features and validating in different environments. • Developed and implemented a microservice architecture that reduced system complexity by 40% while increasing scalability by over 50%. • Developed and implemented complex algorithms to accurately match payments to invoices, resulting in a 90% reduction in payment errors. • Collaborated with cross-functional teams to design and execute end-to-end testing procedures for new application features, ensuring seamless integration with existing systems. • Optimized application performance through code refactoring and system enhancements, resulting in a 50% increase in processing speed. • Collaborated with team members to refactor and optimize existing code, resulting in a 30% reduction in server response time. • Facilitated backlog refinement meetings with cross-functional teams, resulting in a 30% increase in sprint velocity and on-time delivery of key features. • Implemented agile methodologies and tools such as Jira to streamline communication between teams, resulting in a 40% reduction in time spent on administrative tasks. Show less

Application development associate

• Oct 2019 - Jul 2020

Data Analyst Intern

• May 2019 - Aug 2019

Responsible for gathering data from different webpages. Used xpath to navigate through different websites and collect information. Used regular expression to get precise information needed from the acquired data. Responsible for gathering data from different webpages. Used xpath to navigate through different websites and collect information. Used regular expression to get precise information needed from the acquired data.

Associate IT

• Jun 2018 - Aug 2018

Used Microsoft Azure ML Studio to create a ML model to predict route and ETA of oil vessels. Deployed the ML model on a cloud scale. Used Azure SQL database to save the data generated by the ML model. Created visualizations of the data using Power BI. Used Microsoft Azure ML Studio to create a ML model to predict route and ETA of oil vessels. Deployed the ML model on a cloud scale. Used Azure SQL database to save the data generated by the ML model. Created visualizations of the data using Power BI.

Internship Trainee

• Jun 2017 - Jul 2017

Used HTML and CSS to create a registration form and a login form. Used PHP and MySQL to save the data to local database. Used Javascript to verify the information entered in login form. MySQL was also used to update and delete the information from the database Used HTML and CSS to create a registration form and a login form. Used PHP and MySQL to save the data to local database. Used Javascript to verify the information entered in login form. MySQL was also used to update and delete the information from the database