As seen in



Here are some examples of my work



& AI for good

During the early stages of the Covid-19 spread, IBM, Rolls Royce and many other companies decided to come together and join forces in a not-for-profit initiative called Emergent Alliance. From April to August 2020, I had the pleasure to lead this project.
Together, we decided to tackle 3 main use cases.

  • Risk Index: creating a risk index to measure a Health Risk Index for the short-term.

  • Pulse Index: creating an index which considers the reflection of Covid-19 on society such as behaviour and sentiment.

  • Economic Simulation Engine: model and visualise complex interactions of data with high uncertainty, such as Global Trade Data.


Emergent Alliance




Project Lead & Data Scientist

IBM Article1

Click on the Video to see the full story

UK map.png


AI Needs to be trusted.

Explainable AI (XAI) was imperative because explainable outcomes help users build trust and confidence in the algorithm and emphasize trust in AI.

Data visualization bridged the three workstreams together, illuminating the logic hidden behind algorithms, transforming the AI-generated outcomes into actionable results and generating enlightening data narratives.


CO2 Emissions

In 2019, I was involved in one project as squad lead, to tackle the theme of Climate Change with Siemens which has committed to achieve a net zero-carbon footprint by 2030. "At the moment we have 300.000 Kilograms of CO2 that are produced by their employee fleet and the idea is to bring it down as soon as possible", explains Mahran Meissner, Technology and Security IT Architect at Siemens, during our interview.

To achieve this, we need to change human behaviour first by incentivizing more eco-friendly options when travelling. 

We used three different technologies:

  1. IoT (Internet of things): Watson-branded BMW i8 electric car was outfitted with sensors to collect data on all the car’s activities, such as location, fuel consumption and battery levels.

  2. Artificial Intelligence component (Virtual assistant): Users could interact with a Virtual Assistant to book trips and ask for the most eco-friendly option by calculating the CO2 emission to drive from a specific place to another by using a specific travel option.

  3. Blockchain: the data collected through the IoT sensors and the Virtual Assistant were integrated with live and stored data from IBM Blockchain.






Project Lead & Data Scientist



Eco-friendly Options 


Change Human Behaviour

More Info.

Click on the Video to see the full story


Conversational AI

in Banking

Customers want a choice of how, when and where to conduct their banking, from the 24/7 accessibility of mobile and digital to personal and branch-based. Banks face the pressure of competition and the need to improve customer experience with faster service, reduced wait times and first-time problem resolution, all while reducing costs.

I had the honour and pleasure to be part of this incredible project since its very beginning in 2016. The start of Cora signs the begining of a new profession called "Conversation Analyst" who monitors conversations to continuously improve the brain of the Virtual Agent.  From 2016 until 2018, I was the principal Cognitive Engineer involved in the creation, piloting, productionalization, monitoring and improvement of the Assistant.

Meet Cora and its Team in this series of 7 videos on Youtube:


Royal Bank of Scotland


Financial Services


AI Consultant

Cognitive Engineer

Click on the Video to see the full story

More Info.