Senior Data & AI Engineer — building intelligent pipelines
and ML systems that answer questions that matter.

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About

I'm a Senior Data & AI Engineer with five years at AT&T, where I've moved through five roles — from data science to platform engineering to applied AI. I build the systems that let data move fast, stay clean, and actually answer questions that matter to the business.

My current focus is on AI infrastructure: retrieval pipelines, LLM toolchains, and the unglamorous orchestration work that turns prototype demos into production systems. I care about reliability, latency, and making complex things simple to operate.

Outside work, I follow motorsport obsessively — WEC, F1, and GT3. Racing is engineering under pressure, and the culture of continuous iteration and data-driven decisions maps directly onto how I think about software.

5+ Years Experience
5 Roles held
100+ Petabytes overseen
$15M+ Documented savings

Experience

  1. Aug 2024 – Present AT&T

    Senior Data & AI Engineer

    • Built an autonomous PySpark observability platform overseeing 100+ petabytes across the enterprise, establishing real-time auditing, retention optimization, and unified data governance.
    • Engineered a production-ready Azure data platform integrating Databricks, Snowflake, and Palantir to standardize enterprise ontologies and automate security remediation for high-sensitivity data.
    • Engineered an enterprise-grade CI/CD pipeline using GitHub Actions and Databricks Asset Bundles with custom testing and data validation frameworks.
  2. Oct 2023 – Aug 2024 AT&T

    Member of Technical Staff

    • Led architecture and product ownership of a zero-downtime data center, supporting 250k+ concurrent testing scenarios (~10 Petabytes of data) for 5G network reliability.
    • Implemented comprehensive IT Service Management solution on 42 bare metal Linux hosts with proactive monitoring and real-time remediation capabilities.
    • Spearheaded security hardening initiatives, employing best practices to ensure robust defense against potential threats.
  3. Jun 2022 – Oct 2023 AT&T

    Software Engineer II

    • Designed and developed stateful React components and RESTful Node.js microservices for CX Central, centralizing business intelligence and achieving ~$3M in annual cost savings.
    • Developed ML model analyzing meteorological data to forecast cellular tower downtime, preventing outages and generating ~$7.5M in annual cost savings.
    • Engineered and optimized React components and API endpoints for LCDB/BPRM tools, securing ~$5M in annual cost savings through streamlined data dissemination.
  4. Jul 2021 – Jun 2022 AT&T

    Software Engineer I

    • Optimized and automated data management processes using shell scripts and PySpark, increasing efficiency by 12x and saving ~$200k annually.
    • Designed and implemented dynamically generated landing pages using Palantir (Slate, Fusion Sheets, Contour) to centralize critical business reports for senior management.
    • Developed full-stack solutions leveraging Python, Pandas, and Palantir tools for complex data operations.
  5. Jun 2020 – Sep 2020 AT&T

    Software Engineering Intern

    • Conceptualized and executed Pandemic Playground, a single-page application using the MERN stack that garnered interest from upper management for productization.
    • Designed and deployed secure React-based On Demand Anue Admin Tool for network traffic analysis, doubling efficiency for DevOps teams and saving $100k annually.
    • Applied agile methodologies and Material UI to deliver professional, user-centric web applications.

Projects

P1 POLE POSITION
INTERNAL

Datalock Initiative

Enterprise data platform unifying governance and security across 100+ petabytes.

  • PySpark
  • Azure Databricks
  • Snowflake
  • Palantir Foundry
  • Azure (ADLS, Blob Storage)
  • GitHub Actions
02
Cellular Tower Downtime Predictor ML model forecasting outages, generating ~$7.5M in annual cost savings.
ML · FORECAST $7.5M /yr
03
CX Central — Business Intelligence Hub Centralized BI platform delivering ~$3M in annual cost savings.
BI · FULLSTACK $3M /yr
04
Willows 5G Data Center Zero-downtime testing platform supporting 250k+ concurrent scenarios.
INFRA · OPS 250K+ SCEN
05
LCDB & BPRM Tools Organization-wide data dissemination platform, ~$5M annual savings.
API · TOOLS $5M /yr
06
My Health Vault Full-stack patient data management platform with RBAC and authentication.
WEB · DJANGO RBAC AUTH

Skills

Hover a vertex to reveal proficiency · Levels are illustrative, not objective metrics.

Languages

Python SQL TypeScript JavaScript Shell

Data Engineering

PySpark Databricks Pandas Snowflake Palantir

Cloud & Infra

Azure ADLS GitHub CI Cosmos DB AKS Linux

Web & Apps

React.js Node.js Django Spring Boot Flask

Contact

// OPEN TO

Interesting AI infrastructure challenges, data platform work, and anything involving fast systems.