About Myself

Hello! I am a PhD student in the Computer & Information Science & Engineering at the University of Florida. I am interested in exploring ways to make Machine Learning trustworthy, fair, and safe. I have explored explainability and fairness aspects of Machine Learning to make it fair. I hope to continue exploring this area in future.

I majored in Computer Science from Amirkabir University of Technology (AUT) and graduated with a minor in Mathematics in 2014. At AUT, I worked on research projects about use of reinforcement learning in mobile networking. In my free time, I enjoy reading biographies, cross stich and ride my bike.

My Skills

I have diverse background in domains such as Machine Learning/AI, Human Computer Interaction, and Software Development

Machine Learning

Deep Learning Framework: Tensorflow/Keras (using frequently), PyTorch (using if needed)

Other: python, NLP, Computer vision, reinforcement learning

Human Computer Interaction

Technologies: Dialog fow,Affinity Diagrams, Balsamique, Invision, prototyping, wireframe,task flow

Skills: Qualitative analysis, Quantitative analysis, Hypothesis Testing, Survey Design

Software Engineering

Web Development: HTML5, CSS3, ReactJs, NodeJS, Javascript, jQuery.

Other: Java, Agile methodologies, Heroku, Vercel, Object-Oriented Design

Experience

I have diverse work experience in academics, non-profit organizations and Tech startups related to Machine Learning/AI.

Deep Learning Intern
Geopipe - 17 May, 2021- 6 August,2021
TBD
Tech Policy Fellow
Electronic Privacy Information Center - 26 May, 2020- 31 July, 2020
- Developed an open-source Risk Assessment Simulator based on information gathered through multiple FOIA requests. This simulator has been developed using react.js and JavaScript.

- Evaluated the current differential privacy effort happening at U.S. Census Bureau and bolded the current problems.

- Investigated the current development of content tracing app and their consequences for Public privacy.
Graduate Research Assistant
Human Experience Research Lab - December, 2017-now
As a PhD student, I worked on multiple projects about Machine Learning/AI and Human Computer Interaction.
ML research assistant
Department of Health Outcomes & Bioinformatics - Aug 2015-November 2016
- Analyzed time series data to find the existing trend of using Stimuli drug in Schools.

- Designed the research agenda and most efficient ways to visualize the data using Tableau.

- Predicting the readmission rate for patients who over utilize the insurance. Using unstructured four-year ER visits data, I was able to improve the accuracy by %10.