Chaitanya K. Joshi

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 describe 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 have also written 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
Representing Sets of Entities for Matching Problems

tl;dr Representing sets of financial statements and invoices as bags-of-features.

PDF

Utilizing Embeddings for Efficient Matching of Entities

Sean Saito, Chaitanya K. Joshi, Raja Shanmugamani, Truc Viet Le, and Rajesh Vellore Arumugam
US Patent App. (pending)
Embeddings for Efficient Matching of Entities

tl;dr Learning low-dimensional vector spaces of financial statements and invoices for constructing semantic similarity graphs.

PDF

Graphical Approach to Multi-Matching

Truc Viet Le, Sean Saito, Chaitanya K. Joshi, and Raja Shanmugamani
US Patent App. 16210070
Graphical Approach to Multi-Matching

tl;dr Matching financial statements and invoices via graph combinatorial optimization algorithms on semantic similarity graphs.

PDF
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