I am about to complete my masters in Data Science (MDS) from Tribhuvan University. I have done my bachelors in Computer Sciene and Information Technology (CSIT). I'm a software engineer. I have worked half a decade for different companies based on Nepal and United States. As a Software Developer, I have made significence differences for multiple companies. Apart from that, I have worked as a Lecturar in Himalayan College Of Management(HCM). I am always eager to learn new technologies. Now, I am exploring and looking opportunities arround Data Science and Machine Learning.
My favorite languages for systems programming, software engineering, and data analysis.
My preferred technologies for Machine Learning and Data Science Projects.
My preferred technologies for back-end web programming and database architecture.
My favorite tools for version control, code editing, and container orchestration.
Zigyasha is a chatbot designed to discuss the laws and acts of Nepal. It has been trained using information from four distinct acts of Nepal. Feel free to ask questions about these acts, and Zigyasha will provide answers based on the relevant documents. This project was developed using LangChain, FastAPI, and Python. You can explore the chatbot by creating an account and trying it out for free through the link below.
Check it out!While I was engaged in seva, I had the opportunity to collaborate with US-based firms where we harnessed various technologies, including AWS, ElasticSearch, Laravel, Python, PHP, Django, and MySQL. My responsibilities was incrafting high-performance APIs, integrating third-party APIs and developing a multi-tenant system. In addition to these endeavors, I also contributed to internal projects at seva, such as the CV management system.
Check it out!Uptrendly is an influencer marketing firm headquartered in Nepal. The platform registers social media influencers, allowing brands and businesses to leverage these influencers for promoting their products and services. Within the platform, brands have the ability to initiate campaigns, choose influencers, monitor campaign progress, and access detailed campaign reports. I played a pivotal role in developing the platform's backend infrastructure
Check it out!Devanagari digit recognition system have mainly two components. Webapp in flask and recognition model. Model is trained on handwritten devanagari digits. Model have shown, 97% accuracy in the testing data.
Check it out!