Red Violet, Greater Seattle Area (Aug 2026 - present)

Staff AI Applied Scientist

• AI model and agent development for identity verification and fraud detection

Thomson Reuters Labs, Greater Seattle Area (Jun 2025 - Aug 2026)

Senior AI Applied Scientist II

• Architected end-to-end pipelines for legal document retrieval, processing, generation, and multi-turn conversation evaluation across diverse legal request types

• Designed and optimized CoCounsel Legal Agent for high-stakes document drafting (agreements, contracts, complaints, motions); incorporated SKILL-, RL-, & synthetic-data-based methods to enhance performance

Dataminr, New York (May 2020 - Jun 2025)

Senior AI Research Scientist

• Led LLM-based model development for trending anomaly summarizations, automatic summary updates of time-evolving events, supplementary context generation, and other quality assurance applications

• Owned full model lifecycle–research, deployment, and quality control–for text generation systems that summarize event details which are delivered to customers at scale across all Dataminr platforms

• Developed content and error detection model for production quality assurance

• Partnered directly with stakeholders on their AI model requirements and feedback on how to improve existing models or develop brand-new models

• Mentored junior AI researchers/engineers on AI model development and best practices

IBM T. J. Watson Research Center, New York (Dec 2014 - May 2020)

Research Staff Member in Distributed AI

• Task Lead for hybrid networks in the International Technology Alliance (ITA) project 

• Task Lead for query answering in dynamic knowledge networks in the Network Science Collaborative Technology Alliance (NS-CTA) project

• Designed resource management strategies via reinforcement learning and deep learning

• Led node sequence embedding, graph analysis, performance quantification, and algorithm design projects

IBM T. J. Watson Research Center, New York (Aug - Nov 2012 and Jun - Sep 2013)

Research Intern in Distributed and Cognitive Systems

• Developed reinforcement learning algorithms for intelligent mobility control in delay-sensitive networks

• Conducted fundamental research on graphical conditions and algorithms for identifying network properties

• Contributed to problem modeling and rigorous quantitative analysis of distributed systems

Microsoft Research Asia (MSRA), Beijing, China (Sep - Dec 2009)

Research Intern at Wireless and Networking Group (W&N)

• Researched and prototyped a Gigabit Wireless Communication System

• Executed end-to-end implementation, test, and performance analysis on SORA platform

Ericsson Communications Co., Ltd, Beijing, China (Jun - Oct 2008)

Summer Intern at the Broadband Network R&D Center (XB)

• Authored design documents and implementation proposals for the OMS1010 Optical Multi-Service project

• Performed code porting, debugging, and module-level testing in Linux OS

NTT DoCoMo Beijing Communications Laboratories Co., Ltd, China (Apr 2007-Apr 2008)

Research Intern at the Department of Mobile Ubiquitous Communications (MUC)

• Designed and evaluated novel multicast schemes for the MAC layer of the IEEE 802.11 standards

• Executed large-scale simulations via OPNET 11.5, leveraging Visual Studio for debugging and analysis