Experience

• 

  Outsight

  • Paris, Île-de-France, France

  • Algorithm Engineer

    • Feb 2024 - Present
    • Paris, Île-de-France, France

    • Improve the use of custom maps and vehicles with the Carla simulator (open-source autonomous driving simulator) for algorithm testing • Ease the definition of specific scenarios, such as implementing a control tool to define pedestrian trajectories

• 

  DSTA

  • Singapore, Singapore

  • Technology Undergraduate Program (Tech UP)

    • Jan 2024 - Present
    • Singapore, Singapore

    • Member of the pioneering cohort of this program• Actively participating in ongoing professional development, including specialised courses and networking events• Enhance technical expertise in areas like Robotics, Computer Vision, and Artificial Intelligence (AI) through engaging internship experiences

• 

  DSO National Laboratories

  • Singapore, Singapore

  • Computer Vision Engineer

    • May 2023 - Aug 2023
    • Singapore, Singapore

    Robotics Division (Robotics Autonomy)Title: Optimizing Localization and Perception Efficiency in Fast Agile Drones using Symbolic Computations and Code Generation Techniques• Explored the use of event cameras for Event-based Stereo Visual Odometry (ESVO) for fast agile drones• Reimplement the non-linear least square solver for robot state estimation & perception using a new symbolic computation and code generation library (SymForce)

• 

  Bumblebee Autonomous Systems

  • Singapore, Singapore

  • Student Trainee

    • Aug 2022 - Jan 2023
    • Singapore, Singapore

    Bumblebee's Hornet 8 training program which trains freshmen to build an Autonomous Underwater Vehicle (AUV) from scratch.• Under the electrical acoustics sub team responsible for localization using hydrophones• Explored possible digital signal processing techniques• Designed an analog filter to process the acoustic signals

• 

  DSO National Laboratories

  • Singapore, Singapore

  • Radio Frequency Engineer

    • Oct 2019 - Dec 2019
    • Singapore, Singapore

    Engineering DivisionTitle: Disabling Drones Using Radio Frequency• Investigated various electronic jamming techniques ranging from dynamic barrage to swept frequency jamming• Spearheaded the design of a novel antenna using a repurposed luncheon meat can as the waveguide to effectively propagate the jamming signals• Leveraged state-of-the-art ADALM Pluto Software Defined Radios (SDRs) to generate powerful, precision-tuned jamming signals, ensuring optimal efficacy in disabling drone control links• Successfully disrupted the control link between a Parrot Mambo drone and its controller (phone), validating the viability of our solution

• 

  DSO National Laboratories

  • Singapore, Singapore

  • Student Researcher

    • Jan 2018 - Dec 2018
    • Singapore, Singapore

    Sensors DivisionTitle: Calibration Methodology for Direct Radio Frequency Waveform Generation• Investigated the approach for the characterization, calibration, and compensation of channel mismatches in a Quadrature Modulated Waveform Generator (QMWG)• Error analysis was done using the Figure of Merit (FoM) as the performance metric• Appropriate calibration and compensation were implemented and then tested using Python to confirm the effectiveness