Bhupali Chakraborty

Leveraging state of the art large language models (LLMs) as well as traditional NLP/NLU & machine learning methods to drive innovation in the energy sector

- Designed and implemented innovative prompt engineering methods, large language model (LLM) evaluation as well as optimization techniques for cloud based medical NLP and Computer Vision applications. - Conducted domain-specific research on adaptive learning algorithms, focusing on developing intelligent solutions for complex operational challenges. - Developed and optimized machine learning pipelines using advanced tracking and logging techniques, enhancing project reproducibility and performance monitorin

- Supporting the business operations team by completing various administrative and data quality related tasks - Integration of data into our in-house content management system - Monitoring of specific partners, trends and markets - Regular tracking, analysis and reporting on key metrics - Conducting data quality checks to ensure high data integrity

- Implemented NLP pipelines to extract relevant information from unstructured text data resulting in the significant reduction of manual claims processing time - Developed several Machine and Deep Learning models to forecast customer behavior of service renewal tendencies - Deployment of ML models in Azure cloud for scalable and efficient processing of heterogeneous customer data

Recipient of AWS AI & ML Scholarship Program.

Thesis: IoT (Internet of Things) and Machine Learning (ML) based smart agricultural process monitoring, forecasting and control (Grade: 1,0)