Developers are at the forefront of a movement that combines open source technologies, big data and Artificial Inteligence. Cloud platforms have become the innovation hub that binds our passion for understanding and advocating for developers and helping them get their hands on latest technologies.
As a member of this amazing global team of advocates, I lead IBM’s Developer Ecosystems Group in Europe.
Before joining IBM, I worked as a research scientist and a technical lead at Intel. My primary area of interest is intelligent IoT, which is a combination of embedded systems, wireless sensor and actuator networks, distributed computing and artificial intelligence.
My academic and industrial experiences in R&D ranges from forensic analysis of IoT to smart healthcare, smart home, and smart cities. I’ve collaborated in various national and international projects involving top technology corporations including Sun Microsystems, Oracle, BT, Toshiba, BAE Systems, ARM, Intel and IBM.
As a long time Java EE and Spring developer, I have special interests in PaaS and container orchestration techniques, Kubernetes and Red Hat OpenShift.
My principle area of expertise is designing energy-efficient RTOS and bare-metal semi-intelligent distributed middleware for various MCU architectures, in particular ARM Cortex M, x86 and previously MIPS. On the wireless communication side, my previous works were mostly based on 6LoWPAN 802.15.4 and BLE, and my current focus is on LPWA LoRa for smart city applications.
Having excessively experimented with various utility-based, game theoretic and Bayesian techniques to implement intelligence and autonomy in distributed systems, my interests have widened to biologically-inspired techniques. I am absolutely fascinated by artificial neural networks, genetic algorithms and cognitive science. I believe true technological disruption in pervasive and ubiquitous computing will only be made feasible by embedding such techniques in resource-constrained everyday objects in order to make them smart. The recent industrial movement towards deep learning, and the use-case inspired academic research in machine learning (however limited to resourceful devices) are paving the way towards that goal.
I love blogging and I’d like to share my thoughts about technological advances and innovative products. Having previously worked as a research analyst, I’ve been following the market very closely. From time to time I intend to provide insights combined with both technical and business analysis. Therefore the opinions expressed here solely represent my own and not those of my employer.