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)
Served as technical SME for thematic portfolio management system development, contributing to platform that attracted $20M in AUM within 3 months of launch. Engineered automated order execution workflows, reducing portfolio manager workload by 45 minutes daily
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<aside> <img src="/icons/cash_gray.svg" alt="/icons/cash_gray.svg" width="40px" /> Summer Analyst Goldman Sachs (Jun 2021 - Aug 2021)
Engineered robust system validations for sale of complex derivatives elevating accuracy and cutting down technology related incidents. Created API-driven feature switch for region-based releases and A/B testing. Accelerated new feature deployments by 25%
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