I am currently pursuing my doctoral studies at the Chair of Connected Mobility at the Technical University of Munich (TUM) in Germany. My research focuses on Recommender Systems, with a particular emphasis on developing responsible recommendation systems for tourism, prioritising sustainability and social good. I also hold a master's degree in Computer Science from TUM.
I am passionate about using technology to automate tedious tasks and enjoy exploring the intersection of technology and human-centric design. My past experiences working on data science, AI, and software engineering projects at various companies such as Deutsche Telekom, Experteer, and Max Planck Institute for Software Systems have helped me gain a deep understanding of the field. In addition, I am a self-taught web developer and hold the title of Google Developer Expert (GDE) in Machine Learning.
Beyond my research, I actively contribute to the academic community by organizing workshops such as LLM4Good at UMAP'25 and RS4SD (Recommender Systems for Sustainable Development through Responsible Nudging) at CIKM'25, helping drive conversations around the ethical and practical applications of AI for social good.
Over the past two years, I have delivered over 50 tech talks across 15+ countries in three continents. I was named one of the 100 technologists to watch for 2023 and won the Google Developer Expert Community Award (Rising Star), the 2023 Women Who Code Applaud Her Award (Data Science), and the DevelopHER Awards 2022 (Emerging Talent).
As a Google Women Techmakers (WTM) Ambassador and a diversity advocate, I am dedicated to closing the gender gap in STEM through my involvement in various women in STEM networks like ACM Women in RecSys, Female Tech Leaders (FTL), Women Who Code (WWC), Women in CS at TUM (IFF), Anita Borg's Indian Women in Computing (IWiC), etc.
When not sitting in front of my computer, I am usually traveling, collecting passport stamps and fridge magnets.✈️
To get in touch, drop me an email at first_name.last_name@tum.de.