Chaitanya K. Joshi
Research Engineer at A*STAR, Singapore
Patents
During a research internship at SAP Leonardo in 2018, I co-authored a set of patents describing a Deep Learning system for matching financial data to automate corporate accounting processes. Today, this system is powering Cash Application, SAP’s flagship ML product handling over € 200 Million Euro in annual sales pipeline for global companies. I was awared the Professional Internship Book Prize by NTU for my performance and also wrote a more detailed blogpost about my experience at SAP.
Briefly, we developed a pipeline involving: (1) Deep neural networks for building embeddings of structured financial data such as bank statements and invoices; (2) Extracting a semantic similarity graph of financial entities based on the learnt embeddings; and (3) Applying combinatorial optimization techniques for clique finding on the resulting similarity graph.
Representing Sets of Entitites for Matching Problems
Sean Saito, Truc Viet Le, Chaitanya K. Joshi, and Raja Shanmugamani
US Patent App. 16208681
tl;dr Representing sets of financial statements and invoices as bags-of-features.
Utilizing Embeddings for Efficient Matching of Entities
Sean Saito, Chaitanya K. Joshi, Raja Shanmugamani, Truc Viet Le, and Rajesh Vellore Arumugam
US Patent App. 16217148
tl;dr Learning low-dimensional vector spaces of financial statements and invoices for constructing semantic similarity graphs.
Graphical Approach to Multi-Matching
Truc Viet Le, Sean Saito, Chaitanya K. Joshi, and Raja Shanmugamani
US Patent App. 16210070
tl;dr Matching financial statements and invoices via graph combinatorial optimization algorithms on semantic similarity graphs.