- Built a platform to provide a geospatial and temporal summary of reported 311 calls in New York City to visualize trends and optimize municipal resource allocation in real-time. - Developed a batch processing pipeline on AWS to preprocess large historical raw data and perform aggregated computations using SparkSQL and stored the result into PostgreSQL database. - Automated a daily scheduled workflow for retrieving newly reported 311 calls using Socrata API and for performing a batch processing spark job to process and store new data through Apache Airflow. - Created a database API using Flask to retrieve historic and real-time 311 summaries for specific locations over a period of time and demonstrated its use through data visualization on a website using Plotly and Dash.

- Created and authored systematic test plans during each software release to maintain high functional and code quality standards on the Supervision and Compliance web products. - Documented test execution standards and procedures on JIRA to ensure consistent and correct validation across all web products to prevent regression and in-development bugs. - Executed tests and investigated defects using manual testing and automation scripts via Jenkins and consulted with a team of developers to solve issues uncovered during testing to meet sprint and code release deadlines.

- Designed an experimental apparatus to validate the performance of passive irrigation controller prior to field implementation in Kenya and Nicaragua.- Accelerated lab-scale testing procedures by implementing an IoT framework to access and retrieve data remotely for data processing and visualization in line with future field tests abroad.- Streamlined data processing and visualization by developing scripts to reduce manual cleaning of data and to provide insights on field and lab experiments.

- Collaborated with the Commonwealth Scientific Industrial Research Organization (CSIRO) in Australia on the design of a novel aeration control system to maintain sufficient oxygen levels in the water while optimizing energy use. - Designed and created numerical simulation tools and hardware for online data acquisition and implementation of feedback control using IoT infrastructure for both commercial and small-scale applications.- Streamlined data processing and visualization by developing MATLAB and Arduino scripts to reduce manual cleaning of data and provide real-time insight on field and lab experiments.- Reduced energy costs by 68% using the designed control system in the field compared to industry standard methods based on MATLAB simulations and field trials.

Facilitating laboratory sessions, designing project assessments, and marking assignments for the advanced engineering courses in the Robotics and Energy stream:- MIE404 - Control Systems - Designed a 1 DOF rotor and pendulum hardware setup to evaluate students in creating a control system to position the pendulum at a reference angle using an Arduino microcontroller. - MIE438 – Microprocessors and Embedded Microcontrollers - Held laboratory sessions on coding in C & Assembly. - MIE315 – Design for Environment

Thesis Title: Modelling and Development of Membrane Degradation in Photovoltaic Reverse Osmosis Systems (PVRO)- Constructed a lab-scale reverse osmosis system including designing and building sensors for data acquisition. - Modelled system behaviour via machine learning techniques using system operating conditions with 87% accuracy. - Investigated the use of fouling indicators for the design of an online identification and control system to quantify and detect membrane degradation for feasible implementation in remote off-grid communities.

- Administered the execution of civil and electrical capital projects in Toronto ranging from $250K-$1.25M. - Coordinated external resources through each project including design, material procurement, financial execution, construction, inspection, and closure to ensure timely and cost-effective project delivery. - Reviewed and inspected electrical and civil construction drawings to ensure construction standards were being met during the design and close-out phase of the project.

- Developed software that mines online social media data to be used with natural language processing and clustering to aid with business intelligence. - Coded preliminary k-means clustering algorithm to determine social nodes using Twitter API and maintained a back-end database to store select user information.