Worked on building an enterprise-grade platforms that scale across industries, with a focus on real-time data, distributed systems, and operational intelligence. I developed and deployed a location management platform capable of tracking and managing 3,000+ domain-specific assets simultaneously, improving operational efficiency and visibility at scale.
The platform was powered by a custom geospatial library with advanced mapping features including geofencing, asset clustering, overlays, and route tracing built for extensibility and performance. I also engineered a rules-based monitoring engine that ingests sensor data streams, detects anomalies, and generates actionable events, enabling proactive asset management and long-term trend analysis.
To support configurability and enterprise adoption, I built a JSON-driven UI framework that allowed teams to rapidly deploy tailored workflows across multiple verticals, reducing time-to-market for new solutions. I also delivered a reusable charting library (AngularJS + D3.js) for consistent visualization across applications, and established automated testing frameworks that ensured reliability across large-scale deployments.
My expertise spans enterprise software engineering and distributed architecture, with technologies including JavaScript, AngularJS, Java/Spring MVC, Kafka, Docker, Elasticsearch, Cassandra, AWS, and orchestration/monitoring tools such as Mesos, Marathon, Splunk, New Relic, JenkinsX, and Selenium.