Jun 2024 – Aug 2025 · 1 yr 2 mos · London Area, United Kingdom

• Managing the Robotic Surgical Technologies data science team, made up of eight people located in Boston, London, and India.
• Providing advanced data analytics and ML solutions to maintain and improve our state-of-the-art surgical robot, Hugo RAS.

Jan 2023 – Jun 2024 · 1 yr 5 mos · Remote

• Leading a team in developing a cutting-edge fraud detection AI solution. Responsibilities include workload management, utilizing NLP techniques and transformer-based models (LLMs), interfacing with Japanese-based clients, and crafting comprehensive reports and presentations.
• Constructing end-to-end data pipelines and ETL processes from diverse telematics sources (structured and unstructured), and implementing advanced NLP and ML models for insightful data extraction.
• Processing and analyzing IoT car sensor data to generate key insights for machine learning model training.
• Developing pioneering models predicting cognitive decline in elderly drivers, enhancing road safety and fraud detection in insurance claims.

Jan 2022 – Jan 2023 · 1 yr · Manchester

• Designed and productionised end-to-end ML pipelines in Kubeflow to predict number of bedrooms, property type, is bungalow, propensity to sell and property price.
• Developed a propensity-to-sell ML model resulting on a x2.4 increase in clients ROI (Spectre AI).
• Developed a property valuation ML model which predicted the property price with a greatly improved ∼11% MAE.
• Implemented unsupervised NLP models to extract keywords from property descriptions.
• Developed an unsupervised NLP solution to geolocate property addresses.
• Designed, developed and deployed an interactive dashboard application to monitor the models performance using Plotly, Dash and GCP.

Oct 2021 – Jan 2022 · 3 mos · Manchester, England, United Kingdom

Jan 2021 – Oct 2021 · 9 mos

• Developing end-to-end machine learning solutions to solve business needs.
• Currently working on ML models to mitigate cyber-attacks within the UKRI-funded "Soteria" project in collaboration with The University of Manchester, University of Oxford and Arm Ltd.

Oct 2020 – Mar 2021 · 5 mos

• 6 months full-time intensive training combining lecture-based teaching with practical project based learning, hands-on workshops, seminars and presentations, Teamwork and individual and peer-to-peer projects.
• Programming Fundamentals in Python
• Object Oriented Programming in Java
• Fundamentals of Databases (SQL, postgres)
• Web Development Technologies (HTML, CSS, JavaScript, React)

Oct 2019 – Dec 2019 · 2 mos · Tokyo, Japan

• Performing experimental hands-on work at a nuclear accelerator facility RIBF.
• Working with radiation detectors, cooling systems, electronics and data acquisition systems.
• Working as part of a multicultural team and reporting progress on the experimental set-up
• every week by presenting work in international videoconference.

Oct 2017 – Sep 2020 · 2 yrs 11 mos

• Extensive data analysis work through the implementation of software solutions in C++, Python, Java and MatLab to sort large datasets from nuclear physics experiments.
• Experience in data mining and data visualization with packages/libraries such as ROOT, MatplotLib, Numpy, Pandas and Seaborn.
• Performed detailed and rigorous statistical analysis of the sorted data in order to extract relevant physical conclusions from experiments.
• Implementation of Monte Carlo simulations using C++ and Geant4.
• Participated in experiments at different leading research nuclear physics facilities in USA, Finland, Japan and Germany. Gained hands-on experience with some of the most modern technology and equipment available for research in nuclear physics.
• Publication of articles in peer reviewed physics journals.

Oct 2017 – Sep 2019 · 1 yr 11 mos

• Demonstrating in undergraduate modules of the physics bachelor. Modules: Thermodynamics
• (8h), Statistical Mechanics (24h), Thermal Physics (4h), Quantum I and II (8h), Year 2
• laboratories (128h) and Nuclear Astrophysics (marking).
• Marking weekly coursework for all modules and giving feedback to students.
• Preparation of teaching material to ensure student engagement.
• One-on-one interaction with students during laboratory sessions and tutorials.

Aug 2017 – Sep 2017 · 1 mo · Dubna, Russia

• Use of C++ and Geant4 to perform montecarlo simulations of the thermal neutron position
• sensitive detectors at the IBR-2 reactor. Development of a Geant4 application for other users.
• Use of MatLab and C++/ROOT to produce plots and perform a statistical analysis of the
• simulation results.
• Elaboration of a report.

Oct 2016 – Aug 2017 · 10 mos · Sevilla

• Research in experimental nuclear physics. Experimental work at the CNA (National Accelerators Center). Bachelor thesis written on the topic.
• Use of C++ and Geant4 to perform montecarlo simulations of fast neutron detectors to be used in experimental work. Development of a Geant4 application for other users.
• Use of C++/ROOT and Matlab to analyse the experimental and simulation results.

Jul 2016 – Aug 2016 · 1 mo · Ginebra

• Research project consisting on experimental work performed at the n_TOF facility.
• Use of C++ and Geant4 to perform montecarlo simulations.
• Use of C++/ROOT and Matlab to analyse the experimental and simulation results.
• Elaboration of a report.