I'm a backend engineer and DevOps specialist who enjoys building scalable, real time systems and exploring machine learning along the way.
- π 5+ years building backend systems that operate at real scale, from industrial IoT pipelines to national rail safety monitoring.
- π¨βπ¬ Currently building a real time data aggregation layer across large, multi cloud datasets.
- π₯οΈ Systems I've built have protected an entire national rail network, monitored hundreds of active construction sites, and served an Android app with 95,000+ downloads.
- π Built real time safety monitoring covering an entire national rail network, using AI processed camera and LiDAR data.
- ποΈ Built the backend for a construction monitoring platform streaming live camera and LiDAR feeds from hundreds of devices across multiple sites.
- π‘ Shipped a video streaming service handling 150+ concurrent streams to thousands of viewers.
- βοΈ Held 99.9% uptime on systems processing real time IoT data from industrial sensors.
- π± Built an Android app with 95,000+ downloads, serving content in 30+ languages.
- π Placed 2nd out of 900 participants at a national hackathon.
Senior Backend Engineer Β· Sep 2025 β Present
- Building a real time data aggregation layer across ElasticSearch, Neptune, and Databricks, unifying large scale data across multi cloud environments.
- Optimizing Golang and Python APIs, cutting response times and resolving production timeout issues.
Backend Architect Β· Apr 2023 β Aug 2025
- Architected backend systems for AI analytics products, holding 99.9% uptime on real time IoT sensor pipelines from industrial sensors.
- Built Django/FastAPI services handling thousands of concurrent requests at sub-300ms response times.
- Cut AWS infrastructure costs by 30% while building high availability solutions.
- Moved deploys from weekly to daily through CI/CD, cutting incident response time by 60% with new monitoring.
- Delivered HLS/WebRTC video streaming for 150+ concurrent streams to thousands of users.
Application Engineer Β· Jul 2021 β Mar 2023
- Built visualization features for a geospatial software product used on large industrial datasets.
- Refactored legacy code, improving processing efficiency and lowering memory use.
- Rail safety analytics (private) β Real time alerting and monitoring system covering an entire national rail network, using AI processed camera and LiDAR data. Python, Django, PostgreSQL, RabbitMQ, Celery, WebSockets.
- Construction monitoring (private) β Live streaming and analytics platform covering hundreds of devices across multiple active construction sites, with role based access for site managers, workers, and contractors. Python, Django, Celery, AWS.
- Hackathon project (private) β Computer vision app built in 48 hours, placing 2nd out of 900 participants nationwide. Python, Flask, MongoDB, OpenCV.
- MovieClick β Android app with 95,000+ downloads, serving movie details and subtitles in 30+ languages through REST APIs. Java, SQL.
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