Query Sensi

Developed an end-to-end Text-to-SQL system that enables non-technical users to query

databases using natural language, leveraging state-of-the-art (LLMs)

Query Sensei

Developed a self-service analysis platform using a fine-tuned open-source Llama-3-8B

to convert natural language into automated data visualizations, increasing SQL

generation accuracy from a 0.3 to 0.7 BLEU score