Research Visitor
2019 - PRESENTCity, University of London- Worked on neuro-symbolic learning for inductive logic programming problems.
- Built on previously developed code, improving the performance and providing a Python interface for the C++ legacy code.
Technologies: Machine Learning, C, C++, Python, PytorchMachine Learning Engineer
2019 - PRESENTVAIC Ltd.- Worked on proof-of-concepts and feasibility studies for machine learning systems.
- Worked on software engineering and DevOps for large scale cluster systems to support AI research.
Technologies: Machine Learning, C, C++, Python, Pytorch, Kubernetes, GCP, AWS, AzureMachine Learning Engineer
2017 - 2019Cambridge Consultants- Worked on advanced machine learning systems to provide cutting-edge solutions to clients by improving and tailoring state-of-the-art algorithms from academic publications.
- Developed deep learning models using Pytorch and Tensorflow.
- Worked on data collection and preprocessing for imaging problems.
- Developed models for time series and sensor data classification, using Boosted Trees and Neural Networks.
- Deployed ML systems using C/C++.
- Worked on data mining using Python.
Technologies: Machine Learning, Python, C++, Pytorch, TensorflowApplication Support Engineer
2016 - 2017The MathWorks- Provided technical support for customers in various fields, e.g. robotics, control systems signal processing, embedded systems, and machine learning.
- Worked on a drone simulation using C++, Matlab, and Simulink.
- Worked on unit testing of new features for the deep learning toolbox.
Technologies: Matlab, Simulink, C++Robotics Intern
2016 - 2016DroneX- Worked on software development, using C++ and ROS, to control a UAV platform.
- Developed the control system, simulation and the mechanical test rig for a bipedal robotic system.
- Worked on embedded software design for a real-time power management application on a low-cost microcontroller.
Technologies: Python, C++, Embedded CStudent Research Assistant
2013 - 2014University of Southern Denmark- Worked on the design of a tactile sensitive robotic fingertip and automated test framework for it in C++.
- Developed a machine learning model for sensor characterization.
Technologies: C++, Python