Summary
Soumen Debnath is an experienced embedded systems and IoT engineering lead with 11 years delivering connected-device solutions across healthcare, lighting, and industrial domains. Currently driving Philips Innovation Systems, he architects cross-platform IoT stacks using Bluetooth/BLE, Wi‑Fi and NFC to ingest and pre-process sensor data for advanced diagnostics. His background spans Android-native apps for consumer lighting (Hue, Interact), NFC/Zigbee/Wi‑Fi diagnostic frameworks at Schneider Electric, and low-level DSP and AR work from early career projects. Trained in data analytics, ML and NLP at IISc and with an internship in cryptography at IIT Kharagpur, he blends hardware-proximal firmware expertise with applied analytics to turn device telemetry into actionable insights. Notably, he has repeatedly bridged mobile UX and embedded constraints to ship production systems in regulated health and industrial environments.
11 years of coding experience
9 years of employment as a software developer
Basics of Data Analytics ML & Natural Language Processing, Basics of Data Analytics ML & Natural Language Processing at Indian Institute of Science (IISc)
Internship, cryptography, Internship, cryptography at Indian Institute of Technology, Kharagpur
English, Bengali, Hindi