Tyler Dial.
Tyler Dial
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Data Scientist & AI / ML Engineer

Data Science+ AI / MLEngineering

Background in data science and agentic AI engineering. I build systems that solve specific problems, with results you can measure.

Selected work
Franklin CoveyHewlett Packard - HP Tech VenturesNational Bureau of Economic ResearchZions BankAmpleoSocioMessina Group Consulting
AI EngineeringLLM ApplicationsAI Agent SystemsRAG EngineeringVector DatabasesModel EvaluationMLOpsData ScienceCausal MLDeep LearningNatural Language ProcessingPythonJavaScript / CSSGoJavaDockerKubernetesCloud InfrastructureContext EngineeringDecision AnalyticsOptimization SystemsCustom Data SystemsDynamic Pricing Models
Selected work

Projects that drive results

From prototype to deployed product. Each one starts with a real problem and ends with a system that runs.

About

I work across the full stack, from model to product. I build tools that take messy data and surface the decisions hidden inside it.

Toolkit
LanguagesPython · SQL · JavaScript / CSS · TypeScript · Go · Java · R
AI / MLPyTorch · TensorFlow / Keras · scikit-learn · XGBoost · statsmodels
LLM SystemsLangChain · LangGraph · OpenAI API · RAG · vector search · evaluation
Data PlatformsPostgres · DuckDB · Spark · dbt · Airflow · Milvus · ChromaDB
InfraDocker · Kubernetes · AWS · Azure · GCP · FastAPI · CI/CD
ProductReact · Next.js · Tailwind CSS · D3 · Plotly · API design
Reading

Book shelf

Currently reading
Designing Data-Intensive Applications
Martin Kleppmann
72%
Building Applications with AI Agents
Michael Albada
45%
Context Engineering for Observability
David Beale
20%
Recently read
Freedom
Jonathan Franzen
4.6
Gang Leader for a Day
Sudhir Venkatesh
4.2
Evenings and Weekends
Oisín McKenna
4.8
The Keep
Jennifer Egan
3.9
Stoner
John Williams
4.4
On Earth We're Briefly Gorgeous
Ocean Vuong
4.3
Contact

Let's connect.

Open to collaborations, interesting problems, and good conversation.

Tyler Dial
© 2026 - Tyler DialBuilt for the scroll - Neue Montreal