Non-invasive glucose monitoring

Heading the engineering team to develop self-driven wearable medical drug delivery devices to combat substance use disorders

Worked on the app development for Speedify, a unique channel bonding VPNImproved Speedify's reliability and performance at the Transport LayerHeaded the Android development of Pingify, a network testing toolAutomated testing to ensure Speedify's performance and functionalityImplemented E-commerce platform integration, maintenance, and support

Developed tools to analyze brain data and store it in a database using MySQL and PythonCreated and managed databases to store the user's brain data.Denoising, feature selection and clustering techniques utilized a machine learning approachDeep learning methodologies were implemented to perform generalized classification

Assessed reliability and market efficiency of the transmission grid for next five yearsExecuted PROMOD to simulate generator economic dispatch for the year 2015Benchmarked the simulation output with historic data to create a BasecaseAutomated Basecase benchmarking using Excel VBA MacrosShort circuit analysis for feasibility and impact study of new plans or projects

Tutored students to help reinforce fundamental concepts & develop critical thinking skillsUsed MATLAB to demonstrate the application of concepts taught in classTaught linear and dynamic engineering systems, programming and electronic circuits analysis

Assisted with the development of a cancer treatment planning system for proton therapyApplied image processing techniques using MATLAB and Python on patient CT scansUtilized parallel cluster computations to run proton dose calculations using Geant4Created tools to perform a comparative study between electron and proton radiation therapy