Dan McBride's Resume

Dan McBride

Senior Data Scientist building production ML, LLM/RAG evaluation, and operational decision systems.

St. Louis, MO, USA

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Dan McBride's profile picture

About

Senior Data Scientist with 6+ years of experience building production ML, LLM/RAG evaluation workflows, analytics engineering systems, and operational decision tools. Shipped professional and portfolio systems spanning model evaluation, AI-assisted workflow design, inference, logging, QA/reporting, and stakeholder-facing review workflows. Reduced sensor-data processing turnaround time by 75%+ while also designing LLM/RAG workflows for agentic business-development support, product knowledge retrieval, and technical decision support.

Work Experience

The HR Group
  • Remote

2023 - Present

Senior Data Scientist

Builds production ML, LLM/RAG evaluation, and operational decision systems for technical review, product knowledge, and business-development workflows.
  • Reduced sensor-data processing turnaround time by 75%+ by shipping an end-to-end ML-assisted review system for senior technical staff
  • Automated manual review steps across ingestion, preprocessing, feature generation, anomaly triage, QA checks, reporting, and reviewer-facing decision workflows
  • Built production analytics and ML workflows spanning model-assisted inference, prediction logging, monitoring, reliability checks, and repeatable stakeholder reporting
  • Designed and evaluated LLM/RAG workflows for agentic product-division business-development support across technical documents, inventory context, internal knowledge, and customer communications
  • Remote

NP Research
  • Hybrid

2022 - 2023

Data Scientist

Built reusable analytics, reporting, and AI-evaluation workflows for business and operational decision support.
  • Delivered multi-workstream data science consulting across machine learning, BI, reporting, AI evaluation, and operational data workflows
  • Built reusable data tools and pipelines producing cleaned analysis datasets, SQL-backed reporting views, interactive visualizations, ML-ready outputs, and recurring stakeholder reports
  • Supported bid, revenue, operational performance, model/data validation, LLM/RAG evaluation, and executive reporting workflows through repeatable analytics assets
  • Turned ambiguous business questions into metric definitions, analytical workflows, dashboards, model/evaluation outputs, and stakeholder-facing reporting
  • Hybrid

WW Ventures
  • Remote

2020 - 2022

Data Analyst

Provided forward-deployed analytics and structured reporting support for venture-backed portfolio-company operators.
  • Provided forward-deployed analytics and reporting support across 20+ portfolio companies
  • Turned fragmented CRM/pipeline, financial, operational, and market research data into structured reporting workflows for portfolio-company operators and venture stakeholders
  • Built market maps, company research datasets, competitive analyses, and financial/operational models to support investment thesis development, market sizing, portfolio review, and growth analysis
  • Developed dashboards and recurring reports for pipeline tracking, deal-flow analysis, portfolio-company performance, and stakeholder updates
  • Remote

Education

University of Missouri

Expected 2026
M.A. Math - Data Science

University of Missouri

2016 - 2020
B.A. English - Natural Language Processing

Skills

Machine Learning & AI

  • Machine Learning
  • Production ML
  • Model Evaluation
  • LLM Evaluation
  • RAG Evaluation
  • AI Reliability
  • Anomaly Detection
  • Feature Engineering

Experimentation & Analytics

  • SQL
  • Experimentation
  • Causal Inference
  • A/B Testing
  • KPI Design
  • Analytics Engineering
  • dbt / DuckDB / Prefect
  • Tableau / Power BI

Engineering, MLOps & Delivery

  • Python
  • FastAPI
  • Docker
  • Model Monitoring
  • Experiment Tracking
  • Prediction Logging
  • Evidently
  • Stakeholder Communication

Projects

View all

Production ML Monitoring App
/projects/production-ml-monitoring

Flagship production-ML monitoring product for synthetic industrial sensor telemetry, with model release gates, FastAPI inference, prediction logging, feature-drift diagnostics, alert triage, retraining decisions, and a buyer-style monitoring dashboard.

  • Python
  • FastAPI
  • W&B
  • Evidently
  • Docker

RAG Evaluation and LLM Reliability
/projects/rag-evaluation-lab

LLM evaluation harness for retrieval-augmented generation with deterministic retrieval, structured citations, a 60-question evaluation set, refusal checks, and cost and latency tracking.

  • Python
  • FastAPI
  • React
  • RAG
  • Evaluation

Experimentation and Causal Inference Toolkit
/projects/experimentation-causal-toolkit

Decision-support toolkit for product experimentation and causal inference, covering power analysis, A/B testing, CUPED, Bayesian and sequential testing, diff-in-diff, IPW, uplift modeling, and synthetic control.

  • Python
  • Statistics
  • Causal Inference
  • React

Black-Box Knowledge Distillation
/projects/black-box-distillation-lab

Black-box distillation lab where a compact PyTorch student learns from teacher-labeled job postings, serves predictions through FastAPI, and reports fidelity, latency, confusion-matrix, and model-card artifacts.

  • Python
  • PyTorch
  • FastAPI
  • React
  • Docker

Cloud Data Platform Mini-Lakehouse
/projects/cloud-data-platform

Analytics engineering mini-lakehouse that ingests FRED and GDELT data, builds raw-to-mart dbt models, runs quality checks, orchestrates refreshes, and publishes a BI-facing report.

  • Python
  • dbt
  • DuckDB
  • Prefect
  • BI

Job-Market Lakehouse
/projects/job-market-lakehouse

PySpark lakehouse over scraped job-market data with Bronze/Silver/Gold Parquet layers, incremental ingestion, skill extraction, data quality checks, role-level demand marts, and a static analytics report.

  • Python
  • PySpark
  • Parquet
  • DuckDB
  • Docker

Job Role Classifier
/projects/job-role-classifier

Production-style classifier suite for job-posting role prediction with TF-IDF model comparison, deterministic synthetic augmentation, one-standard-error model selection, FastAPI serving, and a TypeScript dashboard.

  • Python
  • scikit-learn
  • PyTorch
  • FastAPI
  • React

KV Cache Transformer Inference
/projects/kv-cache-transformer-inference-lab

Transformer inference internals lab comparing naive decoder-only autoregressive generation with KV-cache generation, including cache-equivalence checks, decode timing, memory-growth analysis, and a static benchmark report.

  • Python
  • PyTorch
  • Transformers
  • TypeScript

Cloud + Kubernetes AI Deployment Platform
/projects/cloud-kubernetes-ai-deployment-platform

Deployment-platform project that runs the completed black-box distillation API behind an observability gateway, adds Docker Compose and Kubernetes manifests, readiness/liveness probes, CI validation, Prometheus metrics, Grafana dashboards, and a cloud-ready GKE path.

  • Kubernetes
  • Docker
  • FastAPI
  • Prometheus
  • Grafana

Local Git Forge
/projects/local-git-forge

Self-hosted Git forge for local repositories, SSH Git transport, repository browsing, issues, review metadata, agent-facing project docs, backup and restore workflows, and durable private project history.

  • Python
  • FastAPI
  • React
  • PostgreSQL
  • Docker

Nous Hermes

Agentic task-execution harness with Docker-confined runs, YAML task definitions, command allowlists, isolated workspaces, artifact capture, run metadata, fixture tasks, tests, and a local inspection API.

  • Python
  • Docker
  • Agents
  • TypeScript

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