D. "Yoom" Lâm Email & Phone Number

Responsible use of Generative AI to help get government benefits for women and young children.

Leading a team to build a new VA product suite called VRO (Virtual Regional Office) to fast-track Veteran benefit claims using health and supporting evidence stored in disparate VA systems.

• Ensure that Veteran appeals are progressing in Caseflow in a timely manner.
• maintained data integrity as Caseflow software evolves to prevent stuck or stalled appeals;
• improved data quality and data-related tooling by identifying and fixing data in unexpected states, and building a sanitized-data exporter to give teammates the ability to diagnose and test against realistic data;
• proactively built an "Explain" utility which introduced different ways to visualize data and make it more accessible to a wider audience;
• collaborated with the stakeholders' Reporting Team to generate accurate reports; and
• cultivated a positive work environment that reduces the stress level of coworkers and empowers them to be proactive while providing any needed support.

• Significantly contributed to Caseflow software used by the Board of Veteran Affairs to decide on appeals for Veteran compensation.
• Led improvements to Caseflow’s handling of Advance-On-Docket appeals, which prioritized urgent appeals and gained stakeholders' trust in the system;
• Identified many areas of technical improvements across Caseflow and went above and beyond to collaborate cross-functionally and pushed forward resolutions;
• Led investigations into slower DB queries, background jobs, and error handling and pushed changes to optimize them in order to increase Caseflow stability and performance;
• Developed metrics-monitoring solutions to ensure the accuracy of Tableau reports as Caseflow data evolves;
• Spearheaded efforts on data democracy and data-driven decision-making;

• Fulfilled Principal Investigator (PI), project lead, and main developer roles for 6 major projects, simultaneously managing several teams totaling up to 12 staff members yearly. Received top marks in every annual.
• Spearheaded adapting OMNeT++ discrete event simulator as a cost-effective experimentation platform to assess resilience strategies against cyber-attacks; revealed insightful emergent situations and prompted follow-on.
• Published my Core-Facets framework to model cyber-observables and identify potential insider threats using Neo4j graph database. (Used Java and SQL; awarded $700K total across 3 years.) Core-Facets became the.
• Proposed and architected a web-based tool for integrated knowledge management, scheduling, and replanning that streamlined Navy ship lifecycle management for high-level stakeholders and contractors. (Used Java and.
• Designed and built scalable automation that combines heterogeneous datasets and disambiguates entities leveraging Spark, Lucene, Neo4j, and Titan. The tool empowered analysts to incorporate more complex datasets.

• Served as project manager and technical lead responsible for procuring, managing, planning, and developing over 8 projects and supervising up to 16 staff members. Expanded project portfolio diversification, which.
• Grew and established a prosperous portfolio of independent verification and validation projects for a safety-critical diver sonar (C++, C#), rebreathers (C), oil-drilling guidance assistant (Java), and others.
• Developed a scalable distributed multi-agent system for tracking files modified and copied in a local network to detect data exfiltration and steganography using a graph-pattern anomaly detector.
• Published the Time-Dependent Bayesian Network model, which incorporates time-series analysis capabilities into a data mining technique, and used to forecast probable IED events.
• Integrated GATE natural language processing, SVM machine learning, and Jess expert system to assist in text classification; directly leading to funding of large follow-on projects.

• Conducted research in software agents, A.I., and software engineering.
• To improve software comprehension of multi-agent system, applied automated reasoning to generate explanations for actions made by autonomous software agents capable of coordination, information modeling, and planning.
• Developed ontology for analyzing, designing, and evaluating software agents.

Ph.D. And M.S., Computer Engineering, Summa Cum Laude

Activities and Societies: AAAI, AAMAS, IJCAI

B.S., Physics, Minors In Computer Science And Mathematics, Magna Cum Laude

Activities and Societies: Honor society, Physics society