Nathan Landau

Software Engineer

Arlington, Massachusetts, United States Email LinkedIn

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 - Present
EkotropeWebsite Boston, MA (Hybrid)

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.
  • Built a performance path and Total UA calculator designed for home builders as a faster, simpler alternative to the full rater application.
JavaPythonEnergy ModelingAI StudioComputer Vision

Software Engineer (Contract)

Dec 2024 - Dec 2024
SekondWebsite Boston, MA (Hybrid)

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.
PythonSEC Data ScrapingAutomationSQL

Software & Mechanical Engineer

Sep 2019 - Nov 2024
DivertWebsite Concord & Greater Boston, MA

Divert 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.
PythonNode.jsSQLGCPAWSTensorFlowSciPyIgnition SCADAIoT SensorsDocker

Systems Engineer

Jan 2019 - Jun 2019
Casne EngineeringWebsite Remote

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.
Ignition SCADAOSIsoft Pi SystemSystems Engineering

Research And Development Intern

Dec 2016 - Jan 2019
Smith Engineering, PLLCWebsite Greater New York City Area

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.
AzureOSIsoft Pi SystemMachine LearningPythonData VisualizationBACnet

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.
ProxmoxHome AssistantDockerLXCZFSSanoidUniFiNginx ProxyTailscaleOllamaImmichESP32-S3VLANs

Systems Thinking

Project Architecture: AI Takeoff Pipeline

Interactive
Hover or click a node to view architecture details

System Architecture: Hyper-Converged Homelab

Interactive
Hover or click a node to view architecture details

Engineering Ecosystem

Layer 4: Frameworks & Frontend

Next.jsReactNode.jsTailwind CSSHTML/CSS

Layer 3: Logic & Development

JavaPythonTypeScriptJavaScriptSQLSciPyExcel Automation

Layer 2: Cloud & Infrastructure

AWSGCPAzureDockerProxmox VEZFSSanoidGit

Layer 5: Solutions & Intelligence

AI StudioEnergy ModelingIgnition SCADAOSIsoft Pi SystemHome AssistantModel Context Protocol (MCP)TensorFlow

Layer 1: Hardware & Physical Systems

Mechanical EngineeringESP32-S3IoT SensorsUniFi NetworkingVLANsZigbee
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© 2026 Nathan Landau.