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