I started my journey into AI as an engineering student who couldn't stop volunteering for PhD research projects involving data. That curiosity turned into a path, through online courses, electives from the ECE department, and a BSc thesis on reinforcement learning.
After an AI bootcamp and an internship at ParticleB, where I worked on NLP-driven crypto market analysis and built graph neural network models for trading signals, I knew this was what I wanted to do. I pursued an MSc in Computer Engineering with a focus on Information Retrieval and NLP, published my research at top-tier venues including ECIR, CIKM, and the Machine Learning Journal.
Since then I've built AI systems across recommendation and retrieval in academic domain, and financial reasoning, ranging from neural ranking pipelines to fully orchestrated multi-agent platforms. Today at KX, I work on research and development of AI agents in finance. I spend a lot of time learning, following new technologies, and finding ways to connect what's emerging to what's actionable.

Some cool stuff I've built
End-to-end ML pipeline that pulls data for a specific conference, creates enriched index for search and lets user ask question about the conference, trends, popular publications, etc.
A service to intelligently search and disambiguate academic authors from partial or ambiguous input information.
Occasional thoughts on AI, engineering, and things I'm learning
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I'd love to hear about new challenges, ideas, and opportunities.
©Sara Salamat · 2026