Dhruv J.

Machine Learning Engineer @Beam Data

Toronto, ON, CA

Designed and executed end-to-end document ingestion process, ingesting and storing terabytes of company documents in Azure Blob storage-> Created custom ingestion pipeline functionality to exclude confidential documents from the ingestion process-> Orchestrated data preprocessing and cleaning procedures to ensure the quality and consistency of ingested documents, enhancing downstream processing efficiency-> Integrated GPT-4 Vision models to extract additional context from images and tables within documents, augmenting textual information for richer understanding-> Utilized advanced vector embedding techniques to create embeddings for text, images, and tables, enhancing the representation of diverse data modalities-> Contributed in development of storage and retrieval mechanisms using Milvus Vector DB to efficiently manage and query vector embeddings at scale, ensuring rapid access to relevant information-> Implemented a Multi-Vector Retriever for Retrieval-Augmented Generation (RAG) on tables, text, and images using Langchain, enabling the chatbot to generate contextually relevant responses-> Integrated functionality for displaying source files alongside chatbot responses, allowing users to verify the relevance and correctness of provided answers-> Applied appropriate machine learning algorithms and conducted rigorous tests and experiments to refine model performance-> Contributed to the development of a robust feedback loop, enabling the chatbot to iteratively learn from user interactions and adapt its responses accordingly.

Concordia University

Master of Engineering - MEng, Construction Management

WeCloudData

Diploma, Machine Learning Engineering

Gujarat Technological University (GTU)

Bachelor of Engineering - BE, Civil Engineering