\item Implemented technical architecture for a thematic portfolio management system with distributed services, custom indexing algorithms, and real-time data processing capabilities \item Engineered AI agent-based automation for order execution workflows, reducing process complexity through intelligent task delegation and parallel execution pipelines
I'm a distributed systems PhD researcher at the University of Melbourne, focusing on the intersection of peer-to-peer networks and machine learning to build secure federated learning systems.
With a background in software engineering from Goldman Sachs and blockchain development, I explore novel approaches to make distributed learning more private, efficient, and accessible.
Research Activity & Milestones
<aside> <img src="/icons/graduate_gray.svg" alt="/icons/graduate_gray.svg" width="40px" /> PhD University of Melbourne (Jun 2024 - Present) Cloud Computing and Distributed Systems (CLOUDS) Laboratory
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<aside> <img src="/icons/graduate_gray.svg" alt="/icons/graduate_gray.svg" width="40px" /> Bachelor of Software Engineering (Honours) Monash University ****(Oct 2018 - June 2022) 3.84/4.0 GPA (Summa Cum Laude)
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<aside> <img src="/icons/cash_gray.svg" alt="/icons/cash_gray.svg" width="40px" /> Software Engineering Analyst Goldman Sachs (Aug 2022 - Mar 2024)
Implemented technical architecture for a thematic portfolio management system with distributed services, custom indexing algorithms, and real-time data processing capabilities. Engineered AI agent-based automation for order execution workflows, reducing process complexity through intelligent task delegation and parallel execution pipelines.
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