University of Utah
Jan 2023 – Present
Graduate Research Assistant
Mitigating Density of Line Charts:
I am exploring different strategies to mitigate the density of line charts. I am evaluating the effectiveness of these strategies in preserving different properties of the dataset and their impact on people’s ability to identify trends and their trust in the chart.
Amazon
May 2024 – August 2024
Software Development Engineering Summer Intern
Developed an Automated Score Validation System:
Developed an automated score validation framework for the AWS Fraud Prevention team using a behavior-driven development framework. Created a dashboard to continuously monitor the validation tests' success rates, incorporating meaningful visualizations to detect anomalies and patterns effectively.
The test covered 40% of all possible scenarios. However, it consists of all the crucial cases that can be used to create new test scenarios.
It helped to streamline a previously manual process through automation, reducing labor hours by 90%.
University of South Florida
May 2021 – Dec 2022
Graduate Research Assistant
CleanAirKC
Developed an interactive map web application in collaboration with organizers at CleanAirNowKC using D3.js, Leaflet.js & Python server to help them monitor local air quality and identify major contributors to air pollution.
Asthma App
Worked on a mobile app in collaboration with public health experts and physicians at USF Health using React Native, Flask server & Firebase to help adolescents deal with Asthma.
University of South Florida
Jan 2021 – Dec 2021
Graduate Teaching Assistant
Courses: DevOps theory, Computer Networks for IT theory, and lab.
Helped students understand the basics of software development and deployment process, different networking protocols, and their working mechanisms & applications.
Enosis Solutions
Jan 2019 – Nov 2020
Software Engineer
Altopax
A virtual group therapy application where therapists can connect with patients.
Developed a video call application that shows avatars of users mimicking their facial expressions instead of showing their actual video.
MetaGeek
Worked on Wi-Fi issue analyzer products such as Chanalyzer, Eye P.A & inSSIDer of MetaGeek using .NET Framework, Win forms & WPF to implement new features.