Applied AI Software Engineer & Data Scientist
Walker Hyman
Data Science & AI at William & Mary - Philosophy Minor. Passionate about building impactful AI products.
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About
Who I am
I'm a senior at William & Mary studying Data Science (AI concentration) with a Philosophy minor.
I've built multi-agent systems and RAG workflows in production, trained deep learning models from scratch, and shipped full-stack AI products end to end.
Experience
Professional Experience
Babel Street
Applied AI Engineering Intern
- Architected a production multi-agent system coordinating deep research—cut report generation from hours to under minutes.
- Reduced irrelevant RAG results by 60% with a semantic-keyword hybrid retrieval pipeline.
- Built tracing and observability infrastructure (prompt management, eval pipelines, user-level metrics) to accelerate iteration across agent workflows.
PythonMulti-Agent SystemsRAGLangfusePydanticPydanticAI
Centra Logistics
Software Engineer
- Built a novel unified AI commercial real estate property management and forecasting system.
- Designed and built dashboards for property management—replacing manual spreadsheet workflows.
- Shipped forecasting tools for revenue projections and market analysis.
Full-StackPostgreSQLPythonJavaScriptAWSDjango
Selected Work
What I've built
Full-stack AI products, graph neural networks for bot detection, generative models, and NLP.
Expertise
Technologies & skills I work with
ML & AI
PyTorchHugging Facescikit-learnTensorFlowPydantic AIW&B
Full Stack
PythonTypeScriptReactDjangoFastAPINode.jsPostgreSQLSQLTailwind
Infrastructure
DockerKubernetesAWSSLURMGitLinux
Research
NLPDeep Learning ArchitecturesGenerative ModelsMulti-Agent SystemsRAG
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