Tyler Dial.
Tyler Dial
ProjectsAbout MePersonal WritingBooks
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Data Science + AI/ML Engineering

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

PAST EXPERIENCE INCLUDES: FRANKLIN COVEY, HEWLETT PACKARD (HP) TECH VENTURES, NATIONAL BUREAU OF ECONOMIC RESEARCH (NBER), ZIONS BANK, AMPLEO, SOCIO - MAIN SKILLS: DATA SCIENCE, CAUSAL ML, DEEP LEARNING, NATURAL LANGUAGE PROCESSING, MLOPS, AI ENGINEERING, DECISION ANALYTICS + OPTIMIZATION SYSTEMS, AI AGENT SYSTEMS, CONTEXT ENGINEERING, RAG ENGINEERING - PAST EXPERIENCE INCLUDES: FRANKLIN COVEY, HEWLETT PACKARD (HP) TECH VENTURES, NATIONAL BUREAU OF ECONOMIC RESEARCH (NBER), ZIONS BANK, AMPLEO, SOCIO - MAIN SKILLS: DATA SCIENCE, CAUSAL ML, DEEP LEARNING, NATURAL LANGUAGE PROCESSING, MLOPS, AI ENGINEERING, DECISION ANALYTICS + OPTIMIZATION SYSTEMS, AI AGENT SYSTEMS, CONTEXT ENGINEERING, RAG ENGINEERING - PAST EXPERIENCE INCLUDES: FRANKLIN COVEY, HEWLETT PACKARD (HP) TECH VENTURES, NATIONAL BUREAU OF ECONOMIC RESEARCH (NBER), ZIONS BANK, AMPLEO, SOCIO - MAIN SKILLS: DATA SCIENCE, CAUSAL ML, DEEP LEARNING, NATURAL LANGUAGE PROCESSING, MLOPS, AI ENGINEERING, DECISION ANALYTICS + OPTIMIZATION SYSTEMS, AI AGENT SYSTEMS, CONTEXT ENGINEERING, RAG ENGINEERING - PAST EXPERIENCE INCLUDES: FRANKLIN COVEY, HEWLETT PACKARD (HP) TECH VENTURES, NATIONAL BUREAU OF ECONOMIC RESEARCH (NBER), ZIONS BANK, AMPLEO, SOCIO - MAIN SKILLS: DATA SCIENCE, CAUSAL ML, DEEP LEARNING, NATURAL LANGUAGE PROCESSING, MLOPS, AI ENGINEERING, DECISION ANALYTICS + OPTIMIZATION SYSTEMS, AI AGENT SYSTEMS, CONTEXT ENGINEERING, RAG ENGINEERING -
Selected Work

Projects that
drive results

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

About

About
Me

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 · R · CSS · HTML · SAS · STATA
ML / DSTensorFlow/Keras · scikit-learn · PyTorch · XGBoost · statsmodels
Data EngineeringKubernetes · DuckDB · Spark · dbt · Milvus · EdgeDB · ChromaDB
InfrastructureDocker · AWS · Azure · GCP · FastAPI · Airflow
FrontendReact · Next.js · Angular · Vue · D3 · Plotly
Reading

Book Shelf

What I'm reading and what's shaped my thinking. Mostly data and systems, with a lot of detours.

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
FreedomJonathan Franzen
4.6/5
Gang Leader for a DaySudhir Venkatesh
4.2/5
Evenings and WeekendsOisín McKenna
4.8/5
The KeepJennifer Egan
3.9/5
StonerJohn Williams
4.4/5
On Earth We're Briefly GorgeousOcean Vuong
4.3/5
Writing

Recent Writing

[01]MSDS Report

Reducing Churn with ML & AI in a CI/CD Application

March 2026
[02]Personal Substack

The AI Transition Has Started

February 2026
[03]MSDS Report

Predicting Economic Volatility With Deep Learning Methods

December 2025
Contact

Let's
connect.

Open to collaborations, interesting problems, and good conversation.

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