Anthony Rodez

Principal AI Engineer


Principal AI Engineer with 15+ years of experience spanning startups to Fortune 500 companies, delivering end-to-end AI, data science, and cloud solutions across AWS, GCP, Snowflake, and Databricks. MIT-certified in AI/ML with a proven track record of translating complex requirements into scalable solutions, combining deep technical expertise with sales engineering and stakeholder management.

Education

  • MIT Professional Certificate, AI & ML 2021–2024
  • MBA, Information Systems University of Colorado Denver
  • MS, Finance University of Colorado Denver
  • BA, International Business University of Colorado Boulder

Certifications

  • Snowflake Partner Network Gen AI Foundation Accreditation – Snowflake 2026
  • Anthropic Claude Code AI Development – Anthropic Academy 2026
  • Databricks Certified Engineer Associate 2026
  • Snow Pro Core Certification – Snowflake 2026

German (B2) · Spanish (C1) · French (B1)

Skills

AI and Machine Learning

Vertex AI, Cursor, Claude Code, LM Studio, OpenAI, ChatGPT, Gemini, CoPilot, AI Strategy

Cloud Platforms

AWS, GCP, Azure, Snowflake, Databricks, Starburst, Trino Iceberg, AWS LakeFormation

Data Engineering

ETL/ELT, Redshift, BigQuery, Snowflake, Prefect, Informatica, SAP Data Services, Pentaho

Data Science

Apache Spark, Jupyter Notebooks, Azure ML, Scikit-Learn, TensorFlow, Pandas, NumPy, RStudio

Programming

Python, SQL, R, PySpark, Java, JavaScript, Flask, HTML, CSS, PowerShell

Business Intelligence

QuickSight, Tableau, PowerBI, Apache Superset, SAP Business Objects, IBM Cognos, SSRS

Infrastructure

Terraform, AWS CDK, CloudFormation, Docker, AWS ECR, GitHub, GitLab, Azure DevOps

Methodologies

Agile, Scrum, DevOps, AI Adoption Strategy, Sales Engineering, Stakeholder Management

Experience

Sparq Consulting

Principal AI Engineer / Data Scientist Consultant

2024–Present · Louisville, CO

  • Architect and deploy scalable AI/ML pipelines on GCP using Vertex AI, BigQuery, and Cloud Storage, increasing predictions and optimization by 70%.
  • Spearheaded AI adoption strategy in partnership with Booz Allen Consulting, reducing operational overhead by 80% through automated ML/AI integration.
  • Partner with sales leadership as a sales engineer, securing multiple million-dollar enterprise contracts with Fortune 500 clients.
  • Direct strategic talent acquisition for the AI/Data Science team, designing technical assessment frameworks and onboarding senior engineers.

Data Analytics, LLC

Principal Data & ML Engineer

2023–2024 · Boulder, CO

  • Designed and deployed end-to-end data solutions on AWS using Redshift, QuickSight, SageMaker, Starburst, and Glue for large-scale analytics delivery.
  • Automated infrastructure with AWS CDK and maintained data models and ETL pipelines using Agile methodologies.

Corellium

Principal Data Engineer

2022–2023 · Delray Beach, FL

  • Architected the analytics platform from scratch on Snowflake with Prefect-orchestrated ELT pipelines, reducing time-to-insight from 24h to 2h while keeping infrastructure costs predictable.
  • Established a secure data-sharing framework with partner companies, streamlining cross-organization collaboration.

Jupiter Intelligence

Data Engineer – Insights (Climate AI Platform)

2021–2022 · San Mateo, CA / Boulder, CO

  • Built a petabyte-scale geospatial data warehouse using Prefect and Snowflake for a Series C ($54M+) climate risk platform, reducing query times by orders of magnitude.
  • Collaborated with software engineering, data science, and product teams to deliver a GIS-based cloud platform modeling climate perils for enterprise customers.

Panasonic

Lead Data Scientist

2018–2021 · Denver, CO

  • Led data science for a $100M+ Vehicle-to-Everything (V2X) connected vehicles program, building predictive models and data infrastructure supporting connected vehicle safety systems.

Data Analytics Consulting

Principal Consultant

2012–2018 · Denver, CO

  • Delivered end-to-end data platform and analytics engagements for London Trust Media, Coalfire, Zimmer Biomet, Kaiser Permanente, and Comcast/NBC.

Qlearvista

Senior Consultant

2008–2012

  • Served Agrium, CoBank, Vail Resorts, and WJ Bradley across data and analytics initiatives.

Projects

Financial RAG Pipeline

Python · Claude · Qdrant · OpenAI Embeddings · Streamlit

Production-grade Retrieval-Augmented Generation pipeline over financial documents with a built-in LLM-as-judge evaluation harness.

NYC Taxi Demand Forecast

Python · Prophet · Claude · Plotly · Streamlit

Multi-agent forecasting app that fetches NYC taxi trip data, generates a probabilistic demand forecast with Prophet, and produces an executive summary via Claude.

LLM Fine-Tuning & Evaluation

Python · Gemma 2 · Hugging Face (PEFT · TRL) · Streamlit

Fine-tuned Google's Gemma 2 2B to translate natural language questions into Vega-Lite chart specs, with a decoupled evaluation harness that scores model improvements against identical inputs for measurable benchmarking.

GCP AI/ML Data Platform

Vertex AI · BigQuery · Cloud Storage · Python

End-to-end machine learning platform on Google Cloud integrating feature engineering, model training, and deployment pipelines for enterprise analytics. (Sparq Consulting, 2024–Present)

Cloud Data Warehouse Migration

AWS Redshift · QuickSight · Python · SQL

Migrated a fragmented on-premises analytics environment to AWS Redshift with a self-service QuickSight reporting layer serving cross-functional business teams. (Data Analytics, 2023–2024)

Snowflake Analytics Platform

Snowflake · Prefect · Python · SQL

Designed and deployed a modern analytics platform on Snowflake with Prefect-orchestrated ELT pipelines, reducing data latency and improving pipeline observability. (Corellium, 2022–2023)

V2X Connected Vehicles Data Science Program

Python · Machine Learning · Data Engineering

Led data science for a $100M+ Vehicle-to-Everything program, building predictive models and data infrastructure supporting connected vehicle safety systems. (Panasonic, 2018–2021)

Contact

Available for consulting engagements and full-time opportunities. Reach out directly.

Resume
View Resume
Location
Louisville, CO