Nathan Landau
Software Engineer
About
Software Engineer with a background in Mechanical Engineering, specializing in building automation tools, industrial data pipelines, and AI-driven solutions. Experienced in Java, Python, and Node.js, with a focus on creating practical, well-integrated software that solves real-world physical and financial problems.
Experience
Energy Model Developer
Feb 2025 - PresentEkotrope 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.
- Built a performance path and Total UA calculator designed for home builders as a faster, simpler alternative to the full rater application.
Software Engineer (Contract)
Dec 2024 - Dec 2024Sekond 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.
Software & Mechanical Engineer
Sep 2019 - Nov 2024Divert eliminates food waste by using IoT, automation, and integrated software platforms to recover and repurpose wasted food through nationwide infrastructure.
- Migrated cloud infrastructure from AWS to GCP, optimizing for the engineering team's workflow and cutting costs by 30%.
- Designed and implemented an API to expose SQL data, perform real-time calculations, and power facility monitoring dashboards.
- Engineered a scalable prototype for deploying computer vision models leveraging Google AI Studio, Cloud Functions, and Cloud Storage.
- 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.
- Developed predictive algorithms using SciPy and TensorFlow to map and track IoT sensor locations across grocery distribution chains.
- Created interactive Ignition SCADA dashboards for real-time monitoring of IoT sensors in retail display cases and cold storage.
Systems Engineer
Jan 2019 - Jun 2019Casne 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.
Research And Development Intern
Dec 2016 - Jan 2019Smith 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.
Technical Projects & Infrastructure
Home Server & Automation Lab
Architected and manage a hyper-converged 2-node Proxmox cluster to self-host 30+ services, handle over 160 TB of storage, and automate localized home environment controls.
- Orchestrated 30+ self-hosted applications—including Immich, media servers, and local LLMs (Ollama) with hardware GPU passthrough—deployed securely across Docker and LXC containers.
- Engineered a high-availability Proxmox cluster utilizing a 10Gb Corosync interconnect, managing ZFS storage with automated Sanoid snapshots and disaster recovery protocols.
- Built a home automation hub with Home Assistant to manage lighting, climate, and localized voice control; deployed ESP32-S3 hardware running the Wyoming protocol to create a fully local, cloud-free voice assistant pipeline.
- Secured the infrastructure using UniFi VLAN isolation, Nginx Proxy Manager with automated TLS, Proxmox firewalls, and Tailscale for zero-trust remote access.
Systems Thinking
Project Architecture: AI Takeoff Pipeline
InteractiveSystem Architecture: Hyper-Converged Homelab
InteractiveEngineering Ecosystem
Layer 4: Frameworks & Frontend
Layer 3: Logic & Development
Layer 2: Cloud & Infrastructure
Layer 5: Solutions & Intelligence
Layer 1: Hardware & Physical Systems
Nathan Landau
Software Engineer
Energy Model Developer
Feb 2025 - Present- 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.
Software Engineer (Contract)
Dec 2024 - Dec 2024- 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.
Software & Mechanical Engineer
Sep 2019 - Nov 2024- Migrated cloud infrastructure from AWS to GCP, optimizing for the engineering team's workflow and cutting costs by 30%.
- Designed and implemented an API to expose SQL data, perform real-time calculations, and power facility monitoring dashboards.
- Engineered a scalable prototype for deploying computer vision models leveraging Google AI Studio, Cloud Functions, and Cloud Storage.
Systems Engineer
Jan 2019 - Jun 2019- 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.
Research And Development Intern
Dec 2016 - Jan 2019- 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.
Education
Bachelor of Science (BS), Mechanical Engineering
New York University, Tandon School of Engineering