Experience

August 2024 – August 2025 · Stonehouse, UK

Schlumberger — SLB

Electrical & Control Systems Engineer Intern
  • Built and validated measurement-while-drilling orientation models using Extended and Square Root Cubature Kalman filtering. On replayed well data, the updated tuning reduced magnetic-bias error by 15%.
  • Found byte-order and scaling defects in LTB frames, helped deliver a firmware fix and wrote Python test automation that cut debugging time by 45%.
  • Built a motor and control-system digital twin and validated it against field traces to within 2% RMS.
  • Reviewed dump files, test reports and failure cases to explain differences between expected and observed behaviour.
  • Extended Kalman Filter
  • Square Root Cubature Kalman Filter
  • Python
  • Firmware diagnostics
  • Digital twin modelling
  • 15%
    Magnetic-bias error reduction
    On replayed well data
  • 45%
    Debugging-time reduction
    From Python test automation
  • 2% RMS
    Digital-twin agreement
    Against field traces
June 2024 – August 2024 · Westcott, UK

Ura Thrusters

Mechanical / Electronics Engineer Intern
  • Designed, simulated and documented validation PCBs for pulsed-electrothermal-thruster systems using Altium and LTspice.
  • Converted an ESA memorandum into more than 200 structured, testable requirements.
  • Improved bill-of-materials, supplier and inventory workflows in Odoo ERP.
  • Altium
  • LTspice
  • Odoo ERP
  • Requirements traceability
  • 200+
    Structured requirements
    Converted from an ESA memorandum into testable engineering requirements
  • ALTIUM + LTSPICE
    Validation PCB work
    Schematic, simulation and design documentation
  • ODOO ERP
    Traceability workflow
    Bill-of-materials, supplier and inventory data
September 2025 – June 2026 · London, UK

UCL MEng Capstone

Live Data Monitoring Platform · Coastal Buoy · Software & electronics lead, five-person team
Repository ↗
  • Led software and electronics on a five-person team converting an inherited passive buoy into an integrated coastal-monitoring prototype.
  • Built embedded firmware, sensor integration, edge processing, raw-data storage and 4G/LTE store-and-forward telemetry within a £2,500 hardware budget.
  • Built verification, monitoring and store-and-forward workflows for intermittent power and connectivity.
  • Completed bench commissioning, controlled wave-tank testing and a supported field deployment at Brighton.
  • Embedded Python/C++
  • Real-time sensing
  • Edge processing
  • LTE telemetry
  • GNSS
  • Hydrophone
  • 99.9%
    Field upload delivery
    52 files acknowledged, none pending
  • 226 MB/s
    Measured SSD write speed
    Well above the acoustic-stream requirement
  • 3 STAGES
    Verification ladder
    Bench, wave tank and coastal deployment
  • 23.13 kg unballasted
  • £2,500 budget
  • 2-hour field window
  • 8-satellite GNSS fix
  • HDOP 0.9