Nicolas D.
Nicolas D.
Tech. Lead, AI & Autonomous Networks Research, DMTS
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Top Advice

"Soft skills are as important as hard skills. You need to be able to build stories, to be convincing, to keep adapting, etc. However, do not neglect hard skills and select an area where you could go deep in expertise."

Career path

About Nicolas D.

Current Position
Winner of the two last global Conferences on AI organized by Nokia Bell Labs, Distinguished Member of Technical Staff, and recognized Leading Inventor (40+ patents), I’m leveraging the capabilities of AI to create cutting-edge products and market-shaping solutions. Inventor of globally deployed autonomous software and machine learning based systems, I dedicate my energy to delivering tangible added value. Besides having a vision, my main strength resides in the ability to combine machine learning practice, domain expertise, and business understanding to craft features providing relevant field-proven actionable insights. Self-confident when speaking in public, in driving customer workshops or while coding, enthusiast when sketching the big picture or settling the important details, concerned by ethics, I’m a partner of choice to make the AI revolution a viable reality. Traveled extensively and/or conducted business across the 5 continents. Directly worked with and/or managed individuals from around the globe - and loved it! Strong written and verbal communication skills. Ability to explain complex things in simple words. Challenge-driven. Persuasive. Bilingual in English and French. Love exploring.
Main Motivation
Working at Nokia for almost two decades and, now within Nokia Bell Labs, allows to not only to connect with cutting-edge technology but also with great minds from all over the world! Indeed, throughout my career, I worked with exceptionally talented people from the 5 different continents and met customers from very different cultures. We all shared a passion for cutting‑edge technology that genuinely improves people’s everyday lives. Opportunities like this are rare, and Nokia is one of the few places where you can truly make that kind of impact!
Top Advice
Soft skills are as important as hard skills. You need to be able to build stories, to be convincing, to keep adapting, etc. However, do not neglect hard skills and select an area where you could go deep in expertise.
Greatest Achievement
Achievements could be seen from various angles. In terms of internal recognition, I have been awarded as the inventor of the Most Innovative AI solution within the Nokia Corporation by the Nokia Bell Labs President in Helsinki, Finland. It was an amazing memory and had a great impact. Also, I have been recognized as an all-time top inventor for Nokia based on all the patents I received. But what makes me even prouder is that my inventions are now used globally, facilitating internet connection for millions of people worldwide.

Discussions with Nicolas D.

How is AI being integrated into Digital Twin systems within autonomous networks at Nokia?

I have recently applied for the Trainee, Digital Twin role at Nokia, and I am trying to understand how this domain is evolving in real industrial systems. From my academic and project experience in computer science, I have worked on IoT data processing, multi-sensor fusion, robotics navigation, and AR/VR-based simulations. This has given me an interest in how real-world systems can be modeled, simulated, and improved using data-driven approaches. I would appreciate your perspective on how AI techniques such as machine learning, predictive modelling, and autonomous decision-making are currently being applied in Digital Twin systems at scale, and what areas are becoming most important for future development in this field.

Role, Role description

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Hi there, My Name is Prabhas. I came across the Test Engineer (AI Focus) position at Nokia and believe it aligns perfectly with my skills and experience. I just applied for this role. Could you share any insights or advice about t

Applications, Application advice

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For AI and applied R&D roles at Nokia, what kind of project evidence matters most for early-career candidates?

I am an MSc AI graduate based in France, with recent experience building an evaluated LLM/RAG system for enterprise data analysis and research experience in speech/NLP. I am trying to understand how Nokia AI teams evaluate early-career profiles: is it more important to show production engineering depth, research-style evaluation, domain knowledge in networks, or a strong portfolio project connected to Nokia’s technical areas? I would appreciate any advice on how to make an application more relevant for AI or applied R&D roles at Nokia.

Role, Role description

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Hi Nicolas. I recently applied to the Automation and AI Coop position at Nokia as I believe it's a good match with my background in AI and Automation. I would love any advice that you have on post application steps and how I should prepare.

Applications, Application advice

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Hi Nicolas, I read that Nokia is investing a lot in AI-native networks and AI-RAN technology for future 5G and 6G systems. As someone interested in AI and data, I wanted to ask how your AI and automation team is using machine learning to make telecom netw

Also, You can find my work at portfolio and would be open 15 min call to discuss about above question and my work. Portfolio: www.harshachinthala.com

General

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