Robert Aleck

Robert Aleck

London, England, United Kingdom
1K followers 500+ connections

Activity

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Experience

  • Shell Energy Graphic
  • Company ghost image

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      London, United Kingdom

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      London, United Kingdom

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      London and Rotterdam

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      London, United Kingdom

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      Kuala Lumpur, Malaysia

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    Hampshire, United Kingdom

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    Across EU, Middle East and South East Asia

Education

  •  Graphic

    with distinction

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    Dissertation: "I still haven't found what I'm looking for: Enterprise Search Optimization and Governance at a Multinational", I executed a series of experiments to optimise search recall and precision within a multinational organisation.

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    - Use Gazebo and RVIS, and computer vision with deep learning to perform simulated sample search and return, based on NASA Sample Search and Return challenge
    - Forward and inverse kinematics with Kuka arm with 6DOF
    - Implement robotic Pick and Place, including object detection, classification, and sorting, meeting criteria for Amazon Robotics Challenge
    - PCL, RANSAC and MoveIT! for object recognition, collision detection, and motion planning
    - Autonomous quadcopter control using…

    - Use Gazebo and RVIS, and computer vision with deep learning to perform simulated sample search and return, based on NASA Sample Search and Return challenge
    - Forward and inverse kinematics with Kuka arm with 6DOF
    - Implement robotic Pick and Place, including object detection, classification, and sorting, meeting criteria for Amazon Robotics Challenge
    - PCL, RANSAC and MoveIT! for object recognition, collision detection, and motion planning
    - Autonomous quadcopter control using PID
    - Create custom ROS modules in Python and C++
    - Implement Extended Kalman Filters, Monte Carlo Localization in ROS
    - Other topics include SLAM, FastSLAM using gmapping and LIDAR data, Occupancy Grid Mapping, GraphSLAM, RTAB-Mapping, Q-Learning
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    - Build Neural Networks without using a ML framework in Python using Numpy
    - Develop CNN for object detection and classification, image denoising, and data compression
    - RNN and LSTM networks with Pytorch for sentiment analysis and sample augmentation
    - Deep Convolutional GAN and CycleGANs for content generation

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Volunteer Experience

  • Governor, resources committee member

    Oakthorpe Primary School, Enfield

    Education

  • Governor, Finance Committee member

    St Peter's CE Primary School, Westminster

    Education

Licenses & Certifications

Projects

  • Build and train neural networks from scratch to predict the number of bikeshare users on a given day.

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  • Built a deep convolutional generative adversarial network to generate new images of human faces.

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  • Built a twitter bot which monitored trains on my commute and tweeted me whenever they were delayed

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  • Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed.

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  • Developed a set of tools to aggregate data about temperature across rooms in my house over time and chart it in matlab.

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  • Ran an experiment to determine optimal content promotion techniques in an enterprise search environment.

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  • Trained a recurrent neural network on scripts from The Simpson's to generate new text

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