Jan 2023 – Present · 3 yrs 2 mos · Pleasanton, California, United States · On-site

• Leading the design and prototyping of a Document Intelligence Platform as a Service (DIPS) for accounting and various document-driven use cases.
• Spearheading the creation of an LLM agent for graph database applications tailored to financial products.
• Leading engineering and data science/ML efforts in document intelligence across various document types, including contracts, resumes, invoices, and receipts.
• Successfully transitioning multiple features from early access to general availability, benefiting over 1,000 enterprise clients with advanced entity extraction, matching, and analysis capabilities.

Jan 2018 – Jan 2022 · 4 yrs · Pleasanton, California, United States · On-site

• Lead Engineering and DS/ML effort for Document Intelligence products, build successful products among various types of documents including contracts, resume, invoice, receipt etc.
• Leading Machine Learning features effort in Time Tracking and Payroll products from Machine Learning modeling to production.
• Lead multiple projects in Marketing & Sales to accelerate sales operations powered by data and machine learning. 10% increase in the deals closed is verified on the market.
• Lead an agile machine learning engineer team to conduct end-to-end projects developing.
• Coordinating the communication across different teams including customers, stakeholders, developers and frontend apps team.
• Research and Develop data science solution for the first Machine Learning project in Marketing & Sales area. Setup the long-term project life cycle for the further ML projects in the organization.

Jan 2015 – Jan 2017 · 2 yrs

• Implemented and evaluated various spiking neural networks in the design of dedicated neuromorphic hardware
• Designed and developed efficient mapping Neural Network algorithms for a particular device for achieving the benefit of memory requirement and communication bandwidth reduction
• Designed and developed novel Neural Network (Dictionary-based Self-adaptive Network) algorithms for dedicated hardware (GPU-like) on image related applications to assist FLA for developing future IoT products
• Hand-on experience in neural network fast prototyping, deep learning technique implementing
• Attended many Deep Learning/Machine Learning related top summits and conference (e.g. ICML, ICLR) for the feasibility study