Shourya Banerjee

Lead the design, development, and deployment of CRM software, utilizing Agile methodologies to manage product priorities. Managed end-to-end development of the product, leading a team of 10 developers. Implemented infrastructure monitoring, error logging, and alert systems to ensure system stability. Implemented a comprehensive architecture to support the dynamic creation and customization of Kanban boards based on user preferences. Provided innovative Python coding for software development projects, improving code scalability and frameworks. Implemented GRPC Servers to enhance communication between microservices, resulting in improved stability and performance. Integrated Langchain and Open AI to enable NLP-based interactions within the system.

Managed and monitored multiple Crop science-related project pipelines. Developed a data visualization dashboard called DCT using Django and Postgres, which served as the backbone of the recommendation system. Implemented CI/CD pipeline for project deployment. Conducted exploration, transformation, and analysis of Crop Science data from Amazon S3 and PosGresSQL. Setup a pipeline for our project. Optimized data transfer time by 30 percent and recommendation generation time by 50 percent. Designed and implemented a proof of concept (POC) for intermediate data storage using S3.

Created a class for describing neural networks. Contains various methods like feed-forward backpropagation, train, and test. Creating an object creates a neural network with given parameters for the number of layers and number of activation functions for each layer.