As an Agriculture graduate passionate about leveraging technology to drive progress in the sector, I'm currently working on two impactful projects in Nepal as a project manager at Seed Innovation Pvt. LtdDigital Crop Insurance (Dailekh, Dadheldura, Doti) under GIZ's GRAPE project aims to empower farmers by mitigating risk through digital technology.Spatial Analysis of Maize & Paddy Fields (Kapilvastu, Dang, Banke, Bardiya, Kailali, and Kanchanpur) for CIMMYT's maize and rice blocking project utilizes spatial data to optimize crop management.Beyond these, my experience encompasses spatial analysis for field monitoring, code development for digital platforms, and even contributing to a muzzle detection model for livestock at PlantSat.

This volunteer role is with OSGeoNepal, a chapter of the official OSGeo organization. One of the key working groups within OSGeoNepal is Training and Collaboration. In this group, we partner with various organizations to host talk series and training programs. Our goal is to promote open-source software and foster an open data community.

We work as agriculture consultants in Krishi Guru, This is an Android app where we provide service to the farmers and the large-scale agriculture farms. In addition, we conduct agriculture training for farmers in different places in Nepal.

Being a volunteer at YouthMapper, I help map the world's different places and validate the data created by other volunteers. To this date, I have contributed in more than 50+ countries for disaster response in those places. Furthermore, I'm working as an OSMGURU under the initiation of OPen Mapping Hub - Asia Pacific.

In this role, I work on two GIS projects where I explore the data of OpenStreetMap to map a local village in Nepal.

During my internship at Code Casa, I tackled two data science projects utilizing machine learning models. In one project, I focused on weather prediction, leveraging machine learning to forecast weather patterns. This project involved data analysis, model selection, and training to create a system capable of predicting future weather conditions.For my second project, I delved into the popular dog vs. cat image classification challenge. By implementing both machine learning and deep learning techniques, I built a model that could accurately distinguish between canine and feline companions in images. This project allowed me to explore the power of deep learning for image recognition tasks.

From 2021 to 2024, I thrived as a secondary-level teacher at Shree Nawajeevan Secondary (Plant Science) School in Kakani. My role extended beyond the classroom, as I actively participated in all aspects of farm operations, from planting seeds to marketing the produce. During this time, I honed my skills in beekeeping, strawberry farming, and farm management.Furthermore, I leveraged my passion for agriculture to secure funding from international NGOs like Active Hearts. Thanks to my efforts, the farm received over $10,000 in investment, which we used to expand our livestock portfolio by raising cows, goats, and fish. This diversification not only boosted the farm's income but also contributed to its long-term sustainability.

During this internship at Lumbini Seed Company, I worked closely with CIMMYT's Quality Protein Maize (QPM) Project to assess the productivity and quality of this maize. My work included research design, data collection, Research management, and Data Analysis. Along with this, I was involved in the varietal trial of wheat and lentils and mass production of the certified seeds of wheat at the field level.