Nathan Landau

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

• Spearheaded an AI-driven initiative to extract data from PDF building plans, automating energy model generation and ensuring code compliance.
• Implemented compliance paths for new energy codes including state-amended building energy codes, Energy Star, and IECC codes.
• Lead 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 prompt-injection safety model, and Claude Code configurations with session, edit, and commit-time enforcement hooks.
• Built a performance path and Total UA calculator designed for home builders as a faster, simpler alternative to the full rater application.

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 an API to expose SQL data, perform real-time calculations, and power facility monitoring dashboards.
• 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.