Sunil Thapa

About

With a Bachelor's degree in Computer Software Engineering from NAMI and a forthcoming Postgraduate Degree in Artificial Intelligence from Lambton College, this professional has a strong educational background. Their experience includes roles such as Shift Lead at Pizza Hut, Software Engineer at MAGDOTNET, and InfoDevelopers Pvt. Ltd. They have demonstrated expertise in software development, machine learning, and artificial intelligence, with notable achievements in developing online booking systems, implementing recommendation systems, and creating deep-learning models for human action detection. Their technical skills encompass RestAPI, webhooks services, Docker, Amazon's Elastic Container Services, CNN, NLP, and Laravel framework. They have also showcased proficiency in project management, mentorship, and agile methodologies. With a passion for staying current with industry trends and best practices, this individual is poised to make significant contributions in the field of technology.

Experience

• Software Engineer · MAGDOTNET04-01-2022 – 08-01-2022

  Led a team of developers, managed workload and resources, met project deadlines, provided mentorship, and improved team performance while following the software development life cycle. Developed an online vehicle booking system, building RestAPI and webhooks services, enhancing accessibility for clients. Introduced a recommendation system using Machine Learning, boosting revenue by 75% through personalized suggestions and increased customer orders. Created docker images and deployed systems on Amazon's Elastic Container Services. Managed project risks, implemented mitigation strategies, and met stakeholder expectations.

• Software Engineer · InfoDevelopers Pvt. Ltd.06-01-2019 – 03-01-2022

  Conducted research and development, staying current with industry trends and best practices. Designed and implemented a deep-learning model for human action detection using open-pose. Automated inventory management for a soft-drink company, using CNN for drink identification and predictive analysis. Developed a face-attendance system on Raspberry Pi with a remarkable 95% accuracy rate; achieved using Machine Learning and Image processing techniques. Utilized NLP techniques to build a chatbot for BFIs and constructed a language model for Named Entity Recognition and Multi-label classification. Collaborated on high-precision classifiers and tools, leveraging machine learning for business solutions.

• Junior Web Developer · Malika Incorporate - Nepal07-01-2018 – 11-01-2018

  Acquired hands-on experience in developing web applications using PHP, familiar with various PHP frameworks and libraries. Have experience in creating dynamic and interactive websites, web services, and API's with clean and maintainable code. Familiar with Agile methodologies such as Scrum. Have experience in working in an Agile environment, with the ability to adapt to changing requirements and deliver software on time. Acquired hands-on experience in developing web applications using the Laravel framework. Familiar with various features of Laravel such as blade templating engine, eloquent ORM, routing, middleware, etc. Have experience in creating dynamic and interactive websites, web services, and API's with clean and maintainable code using Laravel. Have experience in using Laravel localization features, familiar with using language files and localization methods to translate the application. Have helped in implementing localization in the project, which helped in making the application accessible to a wider audience.

Education

• Lambton CollegePostgraduate Degree, Artificial Intelligence
• NAMIBachelor's degree, Computer Software Engineering

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