Raahul Esakiraja

AI & Machine Learning Engineer

Raahul is a FinTech Developer at Navagant, where he engineers AI-integrated tools to enhance efficiency and expedite internal processes for the firm’s deal teams. He is currently developing the AI Prospecting System to identify acquisition targets, alongside contributing to the Research Intelligence Engine that transforms market data into equity research reports and the CIM Automation platform powered by retrieval-augmented generation.

Raahul is also a Machine Learning Engineer and Quantitative Researcher at the Dataism Laboratory for Quantitative Finance (DLQF), where he leads research in financial time series classification using Machine learning. His previous experience also includes a role as a Quantitative Developer, where he explored the application of machine learning in high-frequency intraday momentum strategies.

Fun Fact

When he’s not developing financial technology, Raahul is an avid cook and film enthusiast. He enjoys spending his free time outdoors, whether it’s playing soccer, hiking, or fishing. He also has a hidden talent for impersonations and can deliver a remarkably accurate impression of Mort from the movie Madagascar.

Education

Virginia Tech – BS – Computer Science

732-770-6875
raahul@navagant.com