AI / MACHINE LEARNING / APPLIED DATA SCIENCE

Building intelligent systems that solve real problems.

I'm Zach Crossett, an AI/ML engineer and data scientist with 14 years of industry experience. I design and build intelligent applications, from enterprise AI agents to machine learning products, with a focus on turning complex problems into useful, measurable solutions.

Pittsburgh, PA M.S. Applied Data Science, University of Michigan

FROM EXPLORATION TO APPLICATION

Selected Work

Applications, AI systems, and research.

All projects
DumpsterData homepage showing commercial waste pricing intelligence and an example market benchmark for Chicago.

Featured Product · 2026

DumpsterData

A commercial waste pricing intelligence platform combining geospatial data, statistical modeling, and full-stack software development.

  • Python
  • FastAPI
  • Next.js
  • Data Engineering
  • Geospatial Modeling

Enterprise AI

Enterprise AI Audit Agent

An LLM-powered document review and audit automation system designed to reduce manual review effort and improve workflow efficiency.

  • Python
  • LangGraph
  • RAG
  • LLM Evaluation

Confidential work · Public overview only

Reinforcement Learning

AlphaZero Othello

An AlphaZero-inspired Othello agent exploring neural-network-guided search, self-play, and reinforcement learning.

  • Python
  • PyTorch
  • Monte Carlo Tree Search

PROFESSIONAL EXPERIENCE

Engineering, analytics, and business leadership.

My background spans applied machine learning, enterprise automation, data science leadership, and early-stage product development. I've built AI-powered workflows for a global financial institution, developed analytical systems for a high-growth technology company, and created independent software products from concept through deployment.

DumpsterData

2026–Present

Founder & AI/ML Developer

Building a commercial waste pricing intelligence platform from concept through deployment.

BNY Mellon

Enterprise experience

Vice President, AI/ML & Data Science

Applied AI, automation, and data science; previous business intelligence leadership roles.

RoadRunner Recycling

Early-stage experience

Early Employee; Pricing and Analytics

Pricing and analytical systems in a high-growth technology company.

TOOLS & PERSPECTIVE

Technical expertise.

01

AI & Machine Learning

LLMs, RAG, agentic workflows, deep learning, reinforcement learning, predictive modeling.

02

Software & Data Engineering

Python, TypeScript, FastAPI, Next.js, SQL, APIs, data pipelines.

03

Technical Leadership

System architecture, ML evaluation, product development, stakeholder communication, team leadership.

LET’S CONNECT

Have an interesting
problem to solve?

I'm always interested in connecting with teams building ambitious, technically challenging products.