Arsalan Azmi is a seasoned professional with a diverse background in software engineering and technology implementation across various domains, including finance and blockchain. Currently, as a Quantamental Implementation Analyst at Marshall Wace, Arsalan focuses on big data processing and quant research using advanced technologies such as Python, Airflow, SQL, and Snowflake. Prior experience includes co-founding Lounge Technologies, where multi-chain infrastructure was developed for web 3 applications, and serving as a Software Engineer at Eczodex, designing cutting-edge DeFi protocols. Arsalan's career also features engagements at Versed AI, J.P. Morgan, and LifeWill Limited, where contributions spanned software development, strategic advisory, and product architecture in high-performance computing and social networking domains. Holding a BSc Hons in Artificial Intelligence and Computer Science from Aberystwyth University, Arsalan blends technical expertise with strategic insight across projects in technology and finance.
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