Abhinandan Aryal

Experienced software engineer with over 4 years of proven success in designing and developing impactful applications across sectors including, Humanitarian, Education, and Finance. Created user-friendly solutions that have improved digital acceptance by 40% for first-time users. Researched in selecting optimal tech stacks, resulting in efficiency gains of up to 25% across areas such as team collaboration, application performance, and timely project delivery. Seeking Software Engineering opportunities to continue making significant impacts.

Aria Technologies Private Limited – Software Engineer 02/2020 – 07/2022 

• Led tech stack migration to .NET Core and FastAPI, boosting future application performance and scalability, resulting in a 40% increase in product development efficiency.

 • Authored SQL Server and PostgreSQL Stored Procedures and Functions, enhancing code readability and streamlining complex logic, resulting in a 20% reduction in code clutter in selected projects. 

• Introduced Query Optimization techniques, resulting in significant improvements in query execution time, with reductions of up to 60%.

 • Leveraged TDD methodologies, ensuring high code coverage and boosting team productivity by 15%. • Created a comprehensive Continuous Integration and Delivery Platform using GitlabCI, reducing application delivery time by 25%.

 • Migrated server-rendered applications to responsive Single Page Applications (SPAs), resulting in a remarkable 25% increase in UI responsiveness. 

Qubex Private Limited – Software Engineer 01/2017 – 12/2019 

• Spearheaded the architectural design of QbexEDU, a cutting-edge Software as a Service (SaaS) application, leveraging ASP.NET MVC for seamless scalability. 

• Engineered a significant improvement in efficiency by leading the migration of API projects from SOAP to REST, resulting in a 30% increase in overall performance. 

• Created Windows Services and Scripts for seamless automation of data synchronization from biometric devices, decreasing report delivery time by an impressive 80%. 

• Developed an Inventory Management System for Vehicle parts that boosted system productivity by 25% through accurate tracking, preventing loss and misuse of parts.

M.Sc in Computer Science (AI) - EPITA, Paris 2022 – 2023 ML, 

 B.Sc in Computer Science & Information Technology - Tribhuwan University, Nepal 2012 – 2016