Ian Hash

Data Engineering (CMU) | Natural Climate Solutions Expert

Bridging the gap between raw environmental science and scalable AI workflows.

40M+ tCO2e Total emissions reduction and removal managed across 45+ enterprise-scale forest carbon projects.

The Mission

Currently completing my Master of Information Systems Management at Carnegie Mellon University. I am a domain expert in forestry and carbon markets who builds the technical infrastructure (Python, SQL, ML) needed to automate corporate decarbonization.

Current Technical Builds

AI-Assisted Scope 3 Data Pipeline

A Python-based tool using LLMs to extract carbon data from unstructured vendor PDFs and map them to standard emission factors.

Python | LangChain | SQL | OpenAI API

Predictive Forest Biomass Modeling

Leveraging remote sensing imagery and LiDAR data to automate the verification of forest carbon stocks.

Python | Scikit-learn | ArcGIS | GeoPandas