This is what I bring to the table:
- B.Sc. in Software Engineering and M.Sc. in Artificial Intelligence
- 4+ years of experience in end-to-end web application and API development through diverse projects
- 2+ years of professional AI research in recommender systems, information quality, explainability, natural language processing, machine learning, deep learning, generative AI, and reinforcement learning
- Proficient in C#, Python (TensorFlow, PyTorch); familiar with C/C++, JavaScript, HTML, and CSS
- Skilled in designing and conducting model experiments, performing evaluations, and interpreting results
- Experienced with generative models, including transformers, GANs, and VAEs
- Skilled in working with large datasets and building efficient data pipelines
- Published research in recommender systems and active in ongoing projects
- Knowledge of CI/CD practices (Jenkins, Docker) and agile development methodologies
- Fluent in English with strong technical communication skills; actively learning German and driven by a growth mindset
Research Projects
š Exogenous Cues
Explored and evaluated contextual quality-related variables (exogenous cues) to enhance the information quality of media recommendations.
š¤ Trustworthy Media Recommender
Integrated contextual quality signals into recommendation algorithms to develop a more trustworthy model.
š” Explainable Recommendation System
Built a multi-task framework that recommends items and generates user-personalized explanations for transparency.
š” Reddit Scraper for Political Discourse
Developed APIs to collect and analyze subreddit discussions to assist research on online discourse.
Software Projects
šø Photocans
Online platform for showcasing and selling software products with an admin dashboard and support tools.
š¢ ReserveAfzar
Automated system for booking conference halls at Bu-Ali Sina University.
š Real Estate Agency Management System
Comprehensive web app for managing listings, transactions, and clients in real estate.
Tech Stack
Contact
