At Edag Global, I engineered an Industrial IoT pipeline that streamed real-time PLC data through MQTT and Apache Kafka into InfluxDB. I also developed Grafana monitoring dashboards and automated Python reports, and designed a predictive maintenance framework using machine learning and large language models.
I built an Industrial Copilot project that connects language models with LangChain to support natural-language interaction, automated reporting, and machine diagnostics. My other projects include a hand-gesture cursor system and a breast cancer prediction model that achieved 96% classification accuracy.
