DANIEL PINO

Software Engineer

Daniel received his BSc in Mathematics and Computer Science from the University of the West Indies, graduating with first class honors. While at school, Daniel had work featured at the International Conference on Complex Networks and their Applications, exploring the utility of hyperbolic geometries in network analysis. Since graduating, his work has been focused on robotics simulation, while also having professional interests in machine learning and data analysis. Daniel enjoys finding simple solutions to complex problems, and is also excited when he gets to use math in his work. Outside of work, he is an avid follower of football and cricket, and enjoys playing cue sports for relaxation.

Past Projects:

  • Simulation

    • Developed and maintained real-time, remote control enabled Unity3D-based simulator with more than 10 different robot scenarios, including multiple arms, pick-and-place workcells, industrial set-ups and more. (2020-2022, Unity3D, C#)

    • Implemented discrete and deterministic user-controlled time intervals into simulation to facilitate development of reinforcement learning algorithms to complete common robotics tasks (2021, Unity3D, C#).

    • Performed evaluation of special distributed rendering runtime designed to enhance performance, prototyping a solution in the cloud. (2022, Unity3D, GCP)

  • Software Infra

    • Aided design and performed implementation of a generic API for interacting with various simulation platforms via TCP/IP. This enabled efficient remote control and environment query/manipulation. (2022, Go, C#, Protobuf)

  • DevOps

    • Added and optimized testing to CI/CD workflow to encourage system safety and robustness. (2022, Bash, Unity3D)

    • Developed custom container environment to deploy Unity3D application at scale on secure private cloud without GPU-accelerated rendering. (2020, Docker, XVFB, Unity3D)