Nathan Landau

Digital Iron builds an AI platform for heavy equipment dealerships, bringing together service data, machine history, and documentation to speed up troubleshooting, parts selection, and quoting.

• Own the integration architecture and ML infrastructure behind Digital Iron's AI platform for heavy equipment service and parts.
• Build the data pipelines, knowledge graph, and LLM agent systems that help dealerships diagnose equipment and source the right parts.
• Bring a mechanical engineering background to heavy equipment service, repair, and parts data.

Ekotrope builds software for the residential construction industry to help raters and builders analyze energy efficiency and meet building codes.

• Started and co-built Automated Takeoffs, an LLM service that reads building-plan PDFs and extracts window data so raters no longer enter it by hand. Benchmarked Gemini, ChatGPT, and Claude, designed a multi-stage prompt chain that reached 88.9% extraction accuracy on about 200 plans at about $0.13 per plan, wrote a 46-threat security threat model, and shipped the RATER integration as a live beta in August 2026.
• Led the engineering side of Ekotrope's AI Taskforce, defining the company's policy and tooling for AI-assisted development, including a 5-phase human-led workflow, a Rule of Two safety posture that closes the untrusted-content leg of the lethal trifecta in config, and four Claude Code enforcement hooks at session start, pre-edit, post-edit, and pre-commit.
• Shipped 89 merged pull requests and 1,086 commits to the Java rating engine behind RATER and CODE, spanning energy code checkers, load and infiltration algorithms, and reports, on a GWT, Apache Tomcat, Maven, and Cog stack, while working a weekly customer support shift for 18 months.
• Designed and deployed a shared AI-assisted-development setup for the Java codebase, with 6 specialist subagents and auto-routing rules, 9 project skills, a risk-tiered guard system matching friction to blast radius, path-scoped rules, pre-commit gates, and configured MCP servers, then taught it in a Claude Code workshop for all developers.
• Built an MCP server and agent loop at Ekotrope's 2026 AI Hackathon that searches for the least-cost set of changes to bring a house plan into code compliance, checked against the Ekotrope energy engine.
• Implemented seven state and local energy codes, led the Florida 2023 code by mapping it against IECC 2021 section by section into the plan the team built from, and shipped ENERGY STAR v3.3 and ANSI/RESNET/ICC 301-2022 changes in the V5.1 and V5.2 rating-engine releases.
• Co-built Ekotrope CODE, a standalone Total UA compliance calculator for home builders, from reusable component tables to a live compliance panel and reports, and aligned its R-value and air-film assumptions with ASHRAE 90.1 Appendix A so ICC would audit the calculation.

Sekond is a financial data platform that brings transparency to alternative investments by organizing fragmented regulatory filings into real-time data for the Evergreen fund market.

• Developed Python scrapers for SEC filings to collect data on the holdings of publicly traded private equity funds.
• Architected automated data collection pipelines to keep the platform consistently updated with the latest financial data.

Divert eliminates food waste by using IoT, automation, and integrated software platforms to recover and repurpose wasted food through nationwide infrastructure.

• Led migration of cloud infrastructure from AWS to GCP, consolidating environments and streamlining the engineering team's deployment workflow.
• Designed and implemented a Node.js API to expose SQL data and perform real-time calculations, and built the React frontend for the facility-monitoring dashboards it powered.
• Engineered a scalable computer-vision prototype on Google AI Studio, Cloud Functions, and Cloud Storage to identify food groups in grocery store waste streams.
• Automated ETL workflows using Python to extract and standardize order data from complex Excel files into centralized databases.
• Developed Python automation scripts to streamline weekly and monthly reporting, significantly reducing manual effort for the Customer Success team.
• Built the real-time monitoring system for the cold grocery supply chain: SciPy and TensorFlow algorithms that predicted each IoT sensor's position through the chain from its sensor data, surfaced in interactive Ignition SCADA dashboards across retail display cases and cold storage.

Casne Engineering is a consulting firm that provides engineering and technology integration for industrial and power applications.

• Designed and deployed Ignition SCADA interfaces for real-time power monitoring in mission-critical data centers.
• Established robust data integration pipelines between Ignition SCADA and OSIsoft PI Systems.

Smith Engineering provides specialized engineering and energy consulting services focused on district energy systems, central plant optimization, and building energy efficiency.

• Developed machine learning models in Azure to forecast energy demand and predict utility bills based on known rates with 97% accuracy.
• Built the 2nd generation real-time energy dashboard for 41 Cooper Square using OSIsoft PI Vision, integrating BACnet/IP data for carbon emission tracking.
• Contributed to the 'Roadmap to 40 X 30' initiative for The Cooper Union, implementing energy management strategies that achieved significant kWh savings and Local Law 97 compliance.
• Led a team of interns to build Pi Vision dashboards for monitoring over 1,000 data points.