Eric Martz — Data & AI Engineer
Building the Future

7+ years of experience in ETL, AI agents, and analytics across pharma, e-commerce, and healthcare tech

Eric Martz, New York City based Data & AI Engineer — professional headshot

About Eric Martz

I'm Eric Martz, a New York City based Data & AI Engineer with 7+ years of experience building scalable data pipelines and analytics for pharmaceuticals, e-commerce, and healthcare technology.

My expertise spans the entire data pipeline lifecycle — from ETL development and cloud infrastructure to analytics and machine learning applications.

These days my focus is on AI engineering: building LLM-powered agents and the durable workflow infrastructure that keeps them reliable. I also contribute to open-source projects like Temporal, where I work on making durable execution better suited to AI workloads.

Professional Experiences

Pfizer Consultant

Cut data warehouse request times from 3 months to 2 weeks; led DevOps and Kafka/Snowflake integration improvements.

Data Warehouse Kafka Snowflake DevOps

Brooklinen

Built large-scale Python ETL pipelines; developed marketing analytics APIs; deployed Docker pipelines to AWS; set up CX dashboards.

Python ETL AWS Docker

AllazoHealth

Optimized pharma marketing with ML-driven adherence metrics; led Azure migration and custom API workflows.

Machine Learning Azure API Pharma

Education & Research

M.S. in Data Science (4.0 GPA), B.A. in CS & Quant Econ. Published research on predictive modeling for railroad safety and decision-making in pediatric rheumatology.

Data Science Research Predictive Modeling Academic

Projects & Open Source

Jev Benchmark

Benchmarks and a playground for TypeSafe's Jev "System One" model, tested on chess and on detecting which NPC a player is talking to in speech-to-text games. Jev scored F1 0.96 on NPC addressee detection; at chess, code-computed facts took it from worse than random to roughly 950 Elo. Code, labeled data, and every raw API response are on GitHub.

Python LLM Evaluation Benchmarking AI

Open Source — Temporal

Contributing to Temporal's open-source durable execution engine with a focus on AI workloads: surfaced starvation of long-running workflows on rate-limited task queues — the kind that back LLM API calls in AI agent systems.

Open Source Temporal Durable Execution AI Agents

Bad Dock

Plays a full video inside a macOS Dock icon — no private APIs, no Xcode, just swiftc. Uses NSDockTilePlugin to escape Big Sur's squircle icon mask and streams frames through a ring buffer so memory stays flat. Source on GitHub.

Swift macOS AppKit Open Source

Personal Interests

Tennis

I really love tennis. I picked it up during the pandemic and have been playing ever since. Learning to play a later in life has been a fun challenge!

Check out this tennis app in development by Yuer Gao!

Skiing

Love hitting the slopes and exploring mountain terrain with friends and family. Still trying to get better at moguls!

Ruby, Eric Martz's cat

Ruby

Ruby is my cat and does cat things.

Furniture Design

Check out my furniture design project!

Local Politics + Advocacy

Advocating for safer, more equitable streets in New York City with Transportation Alternatives and OpenPlans, and for a safe bike path along Lido Boulevard on Long Island.

Check out SafeBeachBike.com!

Nettie Says

A 501(c)(3) founded in memory of my sister, Nettie, so people of every ability can be part of play, school, and recreation. I run our online donations, digital marketing, and fundraising.

Visit NettieSays.org

Sailing

Learned how to sail J/24s with Hudson River Community Sailing. ASA 101 | ASA 103 | ASA 104 Completed.