Conrad Wong

About Conrad Wong

I have 15+ years of experience in helping organizations gain competitive advantage through process optimization and automation. My journey in analytics started as a Six Sigma Black Belt practitioner, and a few years ago I transitioned into Software Engineering, with focus on Machine Learning and Artificial IntelligenceMy philosophy is to deliver world-class customer experiences, while driving excellence in execution. I also believe in quantifying the business value of technology investments, to ensure they have a direct impact on the organization’s strategy.In my personal time I enjoy playing tennis, hiking and reading. I never settle for the status quo, and am always looking for the next opportunity to learn and have a positive impact.Reach out if you’d like to talk about Machine Learning, AI, Data Analytics, Business Process Optimization, or tennis…Areas of Expertise:• Training, deploying and operationalizing Machine Learning and AI models• Natural Language Processing (NLP)• Six Sigma • Data Analytics • Azure Machine Learning• SQL • Python

Experience

1. Principal Applied Data Scientist - Power Apps

   Microsoft

   Dec 2024 — Present

   Led end‑to‑end development (from research to production) of self‑improving enterprise AI agents, establishing an experimentation‑first lifecycle (offline design → online validation) as the standard for data‑driven platform decisions- Built a production‑grade closed‑loop learning platform that continuously improves agents without retraining via a two‑loop system: runtime memory‑based adaptation + periodic prompt evolution via GEPA (Genetic‑Pareto; Agrawal et al, 2025), with automated promotion/discard decisions driven by rigorous statistical thresholds- Delivered statistically validated improvements in agent quality on the Data Entry Agent:+9.4 F1 via Memory-based learning,+12.6 F1 via GEPA, and an additional +2 lift from the combined closed-loop learning strategy- Led the agentic orchestration for AI Workspace, designing multi-agent workflows and coordination strategies to enable complex, cross-task automation and seamless integration into enterprise productivity scenarios- Drove org‑level technical leadership: defined agentic architectures, guided platform strategy, built standardized evaluation frameworks, and scaled adoption through cross‑team alignment, workshops, and customer‑driven feedback loops.GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning — https://arxiv.org/abs/25•••••57

Education

• University of Maryland Global Campus

  Master’s Degree, Data Analytics

• Universidad de Costa Rica UCR

  Bachelor’s Degree, Computer Science

• Universidad Iberoamericana, Ciudad de México

  Graduate Certificate, Finance

Skills

• Business Intelligence
• Six Sigma
• Business Process
• Customer Service
• Data Analytics
• Cross-Functional Team Leadership
• Customer Relationship Management (Crm)
• Software Development
• IT Strategy
• Metrics
• Business Insights
• Change Management
• Process Optimization
• Enterprise Resource Planning (Erp)
• Software Project Management
• Crm
• Outsourcing
• Big Data Analytics
• Management
• Business Analysis
• Product Management
• Project Management
• Project Planning
• Business Process Improvement
• Cloud Computing
• Strategy
• Business Strategy
• Pmp
• Leadership
• Vendor Management
• Enterprise Software
• Customer Experience
• Training
• Telecommunications
• Data Science
• Process Improvement
• Program Management
• Team Leadership
• Erp