As a Teaching Assistant at Innopolis University, I'm deeply engaged in shaping the future of AI through teaching and mentorship in Explainable, Interpretable, and Fair AI; Introduction to Machine Learning; and Information Retrieval. My role bridges the gap between complex theoretical concepts and practical application, ensuring students not only understand but can innovate within these critical areas of technology. I thrive on creating interactive, engaging learning experiences and am passionate about contributing to the development of ethical AI solutions.

I am working at Innopolis university's AI lab. Research topics include Fairness of AI, GANs, and Deep Learning.

Working with several data engineering tools and workflows. Used Scrapy with Tor and middleware to scrape GPU products websites. Worked with Apache Airflow and Kafka to implement MapReduce paradigm along with docker and setting up source and sink connectors. Implemented jobs with AWS Glue and integrated the solution with AWS S3 and Athena.I also contributed to ODD open source provectus internal project by implementing AWS MongoDB Adapter.