Projects

Conducted a two-dimensional hydraulic flood risk assessment of projected sea level rise scenarios for the year 2100, using QGIS, HEC-HMS and HEC-RAS. Evaluated the performance of a levee and living shoreline solution for mitigating high water levels, which successfully protected the Mission Beach strip along the ocean and inland coastal regions, totalling up to an area of 6 km². 

Worked as part of a team to develop a water budget for Orange Lake Wetland. Quantified inflows, outflows, and storage changes using precipitation, evapotranspiration, and lake level data to understand wetland hydrologic behaviour. 

Designed and optimized a drinking water distribution system for a rural locality.  Analysed a system of 20+ nodes using EPANET and used the Python library  WNTR for optimization of pipe properties. 

Designed a stormwater conveyance and treatment system for highway runoff from the I-10 bridge crossing City Park Lake, using Microsoft Excel. Estimated peak flows using IDF curves and the Rational Method, and developed a treatment train to meet NPDES Phase II requirements. Reduced peak flow by 96%, from 4.90 cfs to 0.19 cfs. 

Designed an automated, foldable rainwater harvesting structure that detects rainfall and collects water, in AutoCAD. The system also functions as a shade structure and is intended for coastal and high-rainfall regions. 

As part of a team, studied the presence of microplastics in wastewater using microscopic evaluation and FTIR spectroscopy. Analyzed a ferrofluid-based magnetic separation method for removal. Optimized treatment efficiency using statistical analysis in Minitab. Achieved 98% removal in the lab.

Finalist team in the Witters Competition at the University of Florida, proposed an innovative and climate-resilient stormwater drainage redesign for the historic 75-year-old Florida Gymnasium.  For my role, developed conceptual models using SketchUp, focusing on runoff control, redundancy in roof drainage, and protection of subsurface infrastructure.

Wrote a comprehensive literature review examining how antibiotic contamination affects key nitrogen cycling processes of nitrification, denitrification, and anammox, in coastal and estuarine ecosystems. Identified data gaps related to long-term effects, microbial resistance, and combined antibiotic exposure, and discussed implications for coastal ecosystem health and environmental management.

Applied Machine Learning (Polynomial Regression) to optimize the removal of pharmaceutical contaminants from water using graphene nanoplatelets, using R Programming. Analyzed the influence of pH, adsorbent dosage, contact time, and initial concentration to identify conditions for maximum removal efficiency. Created a polynomal regression model of R-squared value 0.81.

Built an AI-based chatbot in Python to support water treatment plant operators by answering 50+ queries related to water quality, chemical dosing, and system anomalies. Integrated a backend database in Supabase with a simple frontend interface in Streamlit for operational support. 

Analyzed long-term lake level data of 20 years, and applied the Long Short-term Memory (LSTM) Machine Learning algorithm in Python to predict extreme flood events over the next decade. Evaluated trends and future flood risk at a major reservoir. 

Designed a two-storey residential building inspired by termite mound ventilation principles, utilizing the concept of biomimicry. Performed basic CFD analysis in SimScale to study airflow and natural ventilation performance.