Work History
Experience.
/03
Backend & AI Engineer5 Years
Intelligent Buildings
2020 – Present · Full-time · Remote
- 2025–2026: Integrated AI/ML models into the building-automation platform — anomaly detection on sensor streams and predictive maintenance — cutting false alerts and unplanned downtime.
- Designed and shipped production REST APIs and microservices in Java/Spring Boot powering a smart building IoT platform — serving live data from HVAC, access control, energy meters, and sensors across thousands of buildings globally.
- Built real-time ingestion pipelines using Elasticsearch to process high-volume building telemetry at scale — feeding operational dashboards and automated alerting systems with sub-second latency.
- Led backend architecture for IntelliNet, a 24/7 monitoring and cybersecurity SaaS product — owned API design, database schema, and service reliability for a platform deployed across billions of sq ft of commercial real estate.
- Built protocol integrations for BACnet, Modbus, and MQTT — normalized fragmented vendor data from 30+ device types into a single unified API layer consumed by frontend clients and third-party systems.
- Reduced API p95 latency by 60% through Redis caching, query optimization, and strategic indexing across PostgreSQL and MongoDB — measured and validated with load testing.
- Work in a cross-functional team with IT/OT engineers, cybersecurity consultants, and PMs — two-week sprints, code reviews, on-call rotation for production incidents.
JavaSpring BootPythonPostgreSQLMongoDBRedisElasticsearchAWSDockerMQTTBACnet
