At Sirris, I support companies in understanding and applying the latest advances in generative AI, from large language models to multimodal retrieval systems. My goal is to help businesses turn these powerful technologies into practical tools that create value.
Whether you want to build intelligent document processing, extract insights from complex data, or experiment with LLMs or vision models, I can guide you from concept to deployment.
Let’s connect if you’re exploring how AI can transform your products, processes, or services.
Expertise
- Generative AI (LLMs, RAG, multimodal models)
- Distributed AI and edge intelligence
- Time series forecasting and signal processing
Work experience
As part of the Generative AI team at Sirris, I lead and contribute to industrial and collaborative R&D projects involving large language models, retrieval-augmented generation, and vision-language systems. Previously, I headed the Distributed Intelligence Cluster at EluciDATA Lab, focusing on AI for forecasting and signal intelligence.
Before joining Sirris, I worked on AI applications for wireless systems at KU Leuven, and on DSP algorithm implementation at Cadence.
Studies
- PhD in Electrical Engineering – KU Leuven ( 2019)
- Master’s in Electrical Engineering – IIT Bombay (2013)
Professional motto
"The first principle is that you must not fool yourself and you are the easiest person to fool." — Richard P. Feynman
Fun fact
Proud father, open-source and radio enthusiast, and amateur South Indian chef who finds calm in cooking fiery curries.