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;• Served as a subject matter expert for fulfilling internal data metrics and stakeholders' reporting needs.

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 review for delivering exceptional performance and acquiring funding. Wrote and presented research proposals, monthly progress reports, technical documentation, and insightful results, which resulted in recurring sponsor funding as well as fulfilled contract deliverables. Proactively surveyed, assessed, and adapted cutting-edge technologies to ensure performance and scalability goals were met. Entrusted to create multi-year budgets, balance staff allocation plans, interface with sponsors, and report monthly financials to sponsors. Achievements on major projects are as follows:• 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 studies. (Used C++ and Lua; awarded $900K total across 3 years.)• 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 springboard for several funded projects in a variety of domains.• 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 JavaScript; awarded over $1.2M total across 4 years.)• 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, effectively analyze data, and create more accurate intelligence reports. (Used Java, Scala, and JavaScript; awarded over $960K total across 3 years.)

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 helped provide financial support to boost our group size from 5 to 20+. Initiated and administered devops tools (e.g., Redmine, Nexus, Jenkins, CDH) to enhance our group’s development environment. Awarded prestigious promotion due to exceptional project performance, funding acquisitions, publication record, and leadership skills.• 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 in dynamic environments.• 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