My name is Emanuel and I am currently working at Goldman Sachs where I build low-latency trading, research, and analytics systems for our prop equities desk.
Dec 2017 → Present
I am currently building High Frequency Trading systems for Goldman's electronic market making desk. My work involves writing high-performance C++ code for low-latency and high-throughput applications. I also use Python for working with massive data sets.
Oct 2014 → Nov 2017
As part of the Ads Data Infrastructure team, I worked on Google's official time-series analysis tool – a planet-scale service with 20,000 monthly active users which processes billions of rows at interactive speeds. My daily work involved solving problems in distributed systems, information retrieval, time-series analysis, and data visualization.
May 2012 → Sep 2013
I built enterprise Java web applications for the Hong Kong government. My main project involved creating complex data visualization modules using modern JavaScript and writing optimized SQL queries to scale app performance.
2008 → 2012
I graduated Magna Cum Laude and became the CS Program Awardee. I also received the highest GPA in our CS batch and was a financial scholar in all 4 years.