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. Before that, I worked in Google Zürich under the Data Infrastructure and Analysis team for 3+ years.
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.
Dec 2017 → Present
I am currently building High Frequency Trading systems for Goldman's prop equities 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 Data Infrastructure and Analysis team (DIA), 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
2011 → 2012
Our thesis group wrote an implementation of a map system and a shared planner which allows users to share and discover events at particular times and places. [link]
Apr 2011 → Jun 2011
I did my internship in a tech startup where I was tasked to code features for a payment gateway.
2009 → 2010
I did part-time work in in the university's research hub where I built mobile games and apps.
2010 → 2012
As a student ambassador, I organized and gave talks to students in various universities about Microsoft developer tools and APIs.
Apr 2012 → May 2012
I taught basic Java to high school students through lectures and programming contests.
2008 → 2012
I represented the university in various programming competitions. As part of the program, I was trained on problem solving, mathematics, and CS techniques for four (4) years.