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A platform to automate identification and information extraction from various financial and legal documents • Developed a large-scale data pipeline for classification of 2M+ documents into 1400+ categories • Worked on layout analyzer, table detection, table data extraction, forms and free text clustering • Information extraction using BERT for Named Entity recognition in unstructured documents and ROI based template matching on structured documents • Set up highly available, fault-tolerant, model pluggable infrastructure using AWS lambda, DynamoDB, API gateway • Built an event-driven feedback loop and user interaction platform • Reduced the SLA of single document processing by 70% • Helped Intellect cut extraneous escrow staff and services cost by 34%

Signature, Notary Detection and Verification toolkit • Designed and implemented a modular, extensible Signature and Notary Detection API • Implemented a false positive removal api on top, increasing the model precision from 64% to 87% • Developed an algorithm to validate if a notary seal follows US notarization state laws • Setup data extraction pipeline from Notary Seals • Integrated the api with DocuSign and First American document processing services platform • Reduced the SLA of signature and notary verification by 70% • Helped company cut escrow services cost, Increase in Document recording services revenue