2024 — 2026 Hardware design · Prototyping

Fibertrap — Filtration Hardware Development

Engineered a filtration prototype from research insight to testable hardware — working through multiple design cycles from concept sketch to manufactured component. Every decision was constrained by real installation geometry, material compatibility, and the need for repeatable performance across test runs. Used FDM-printed parts with controlled tolerances to validate flow-through efficiency before committing to scale-up.

SolidWorks FDM 3D printing (PLA/PETG) Tolerance analysis Manufacturability review Performance testing Architecture refinement
2022 — 2026 Experimental system design · Precision measurement

Microplastic Hydrodynamics — End-to-End Measurement Pipeline

Designed and commissioned four purpose-built experimental setups from the ground up — flume configuration, optical alignment, instrumentation, and calibration. The resulting combined PIV/PTV framework achieved ±0.002 m/s measurement uncertainty (ITTC RSS method) and produced the first quantitative dataset on microplastic settling velocity in fully characterized turbulent open-channel flow.

PIV/PTV High-speed cameras Laser optics Shadowgraphy Python MATLAB ITTC uncertainty method Monte Carlo analysis
2018 — 2019 Applied hydraulic engineering · Safety-critical design

Dam Bottom Outlet — Hydraulic Analysis & Design

Modelled and designed hydraulic outlet structures for a live dam project — navigating simultaneous constraints on discharge capacity, air entrainment, and cavitation risk under real engineering and regulatory conditions. Combined CFD simulation with data-driven correlation methods, including ANN, to produce design recommendations, engineering drawings, and construction-ready documentation.

ANSYS Fluent HEC-RAS CFD AutoCAD ANN modelling Air-demand estimation Technical documentation
2017 — 2019 Experimental discovery · Data-driven modelling

Hysteresis in Partial Cavitation — NACA0015

Identified and characterized a previously unreported hysteresis in cavity length on a NACA0015 hydrofoil under gradually varying angles of attack — then built ANN and RSM predictive models from the experimental data. The work required tight experimental control, careful validation, and judgment in model selection. It produced one of the first systematic accounts of this phenomenon in the literature.

High-speed imaging Pressure instrumentation MATLAB Artificial Neural Networks Response Surface Method Regression & validation
2016 — 2017 Hydraulic design · Performance optimisation

Centrifugal Pump Efficiency Improvement

Redesigned internal flow geometry in centrifugal pumps to reduce hydraulic losses at target operating points — combining first-principles hydraulic analysis with experimental testing on a purpose-built rig. Developed and validated efficiency curves across a range of flow conditions, identifying which geometric modifications produced the strongest gains in specific energy consumption.

SolidWorks Hydraulic analysis Test rig instrumentation Performance curve analysis Flow path optimisation Design iteration