- Collaborate closely with cross-functional teams to identify requirements, design solutions, and deliver software products.- Developed and managed automated data pipelines using Apache Airflow, orchestrating complex tasks such as data extraction, processing, and analysis across multiple sources, improving efficiency and scalability.- Developed machine learning based remote sensing model that leverages satellite imagery data, weather and soil data with historical yield to estimate crop yield on gram panchayat level of Uttar Pradesh.- Developed a deep learning-based remote sensing model for crop classification, and leveraged the classified imagery to train crop classification model, achieving a 40% reduction in annual company costs.- Developed a computer vision model for detecting diseases in wheat and paddy, enhancing agricultural productivity and crop management efficiency by 20%.- Developed a crop recommendation system API that is beneficial at the farm level. This system uses data from agronomists and location-specific crop history to create an algorithm that suggests favorable crops for particular areas, enhancing agricultural productivity and decision-making.

- Developed a robust & scalable mobile app Search box API for a B2B platform, utilized by 6.5 million active users.- Collaborated with peers to develop multiple scalable mobile app apis such as inquiries, listings, contacts, etc.- Collaborated with cross-functional teams for deployment of the apis using kubernetes, docker & CI/CD pipeline reducing manual intervention.