Research Fellow at University College London on Drone Systems and Sensor Systems. PhD in Reliability Aware Multi-Drone Path Planning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University College London
Data Scientist
June 19, 2026 – Present
project_aerial_delivery
November 4, 2024 – December 12, 2024
project_aerial_delivery — GitHub repository
View Projectas2_robostack
October 26, 2024 – January 16, 2025
Repository for running aerostack2 in the robostack framework
View Projectpointcloud2_aggregator
March 11, 2024 – March 11, 2025
ROS2 Node which aggregates a PointCloud2 stream over a time window
View Projectstarling_simple_offboard
September 3, 2021 – November 30, 2021
Simple offboard controller in ROS2 for use with drones running mavros
View Projectstarling_ui_dashly
August 23, 2021 – January 4, 2023
Control Panel for mission control for Starling project in ROS2 & Dash
View Projectclover_ros2_pkgs
May 13, 2021 – October 11, 2023
ROS2 port for key libraries for the Clover Drone Platform. https://github.com/CopterExpress/clover
View ProjectMinecraftAI
March 25, 2016 – March 27, 2016
An ongoing project to use Neural Networks to play the game Minecraft!
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and heavily focused on robotics and drone platforms, with some exposure to AI/ML. While demonstrating technical curiosity and initiative, the breadth of projects directly aligning with a typical 'Data Scientist' role (e.g., statistical modeling, large-scale data analysis, business intelligence, A/B testing) is limited. The current role as 'Data Scientist' at University College London is listed as current but without a start date, making it difficult to assess its relevance or depth. This suggests a potential gap in experience with diverse data science applications, which might impact cultural fit within a broader data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.