Hi, I am Amir :)

I am an applied scientist focused on automation and intelligent systems. My goal is to build solutions that reduce manual effort and make complex processes more efficient, allowing people to focus on tasks that require human creativity and judgment.

I am particularly excited about the current progress in AI, including the rise of agentic systems, large multimodal models that understand text, images, and video, and the growing computational infrastructure that enables us to orchestrate different components and move closer to truly autonomous systems.

My work combines machine learning, information retrieval, and large-scale experimentation to design systems that are effective, reliable, and easy to use. I am especially interested in search and recommender systems that help people find the right information faster and make better decisions.

I completed my Ph.D. at TU Delft, where my research focused on modelling and analysing large-scale information ecosystems and understanding online behavioural anomalies. I studied how recommender systems and automated agents influence the flow of information across networks. I also developed machine learning algorithms to detect behavioural outliers and anomalies in online environments. My research has been published in top-tier venues, including IEEE TCSS, The Web Conference, and ACM WSDM.

Beyond academia and industry, I am passionate about mentoring and sharing knowledge. Whether mentoring junior researchers and data scientists or answering community questions on Stack Overflow, I believe in the power of collaboration and learning. I also enjoy blogging on Medium, where I write about the intersection of data, algorithms, and society.

If you aree interested in my work, looking to collaborate, or need advice for PhD applications, feel free to reach out!