Dasuni Wickramasinghe
Software Developer @Asl Distribution Services Limited
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WORK HISTORY
Software Developer @Asl Distribution Services Limited
Oakville, ON, CA
Developed and maintained React and Next.js applications using TypeScript and JavaScript, delivering customer-facing logistics and shipment tracking solutions. • Designed and implemented C#/.NET Core REST APIs, supporting frontend workflows and backend integrations. • Built and deployed applications in IIS-hosted DMZ environments, ensuring secure external access and internal system communication. • Integrated Twilio for automated notifications and messaging workflows. • Processed and exchanged XML and JSON scan event data, supporting real-time shipment visibility. • Designed and optimized SQL Server and PostgreSQL database schemas and queries. • Deployed applications to Microsoft Azure, managing app services, IIS configuration, and environment variables. • Implemented GitHub Actions CI/CD pipelines for automated build, test, and deployment workflows. • Worked closely with business stakeholders to gather requirements and deliver scalable solutions. • Improved application performance and API response times through code optimization and database tuning.
EDUCATION
Durham College
Postgraduate Certificate, Artificial Intelligence
SLIIT
Bachelor's degree, Computer Science
University of Bedfordshire
Bachelor's degree, Computer Science
George Brown Polytechnic
Postgraduate Certificate, Cloud Computing
ABOUT DASUNI WICKRAMASINGHE
I am a versatile and experienced software developer with a strong foundation in web and mobile application development. With expertise in a wide range of technologies, including React, React Native, Typescript, JavaScript, Python, HTML5, CSS, PHP, and Java, I have successfully delivered numerous projects that exceed client expectations. My proficiency extends to database management, working with MySQL, NoSQL, and Firebase. Additionally, I possess a solid understanding of machine learning techniques, particularly regression and tree-based classifiers, and have practical experience in deep learning architectures such as CNN, RNN, and MLP. I am also well-versed in NLP and have developed Flask and Rest APIs. With a commitment to quality and innovation, I thrive in collaborative environments, leveraging my skills to create scalable and user-friendly solutions. Currently seeking new challenges, I am excited to contribute my expertise to cutting-edge projects while continuously learning and growing in the ever-evolving field of technology.
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