Sep 2015 – Feb 2019 · 3 yrs 5 mos · New York City Metropolitan Area

• Machine Learning for Intraday Execution: Feedforward Neural
• Networks, Generalized Linear Models, RNN, Reinforcement Learning.
• Mentoring: Onboarded multiple engineers. Helped them get better at
• important company values to ensure they succeed in the team.
• Management (people): Hired engineers. Promoted talented people.
• Worked closely with people falling behind the curve to improve
• performance. Weekly 1-1s with all my direct reports. My
• management style is rooted in empathy with special emphasis on
• creating a safe space in the team to enable aiming high and failing.
• Management (projects): I manage the trading team OKRs. Monthly
• collaboration and regular communication with other teams to plan
• projects. Worked with brokers to drive changes.
• Built trading services and processes from scratch: Started multiple
• systems from clean repos that have gone on to become essential
• components in the company. Set up CI/CD for those systems along
• with setting the code standards. Docker + ECS for services. Python is
• used almost everywhere.
• Team Efficiency: We ship the code 5-25 times a day.
• Scaling the services from zero to thousands of accounts across
• multiple brokers
• Chatbots and NLU: Developed a Feedforward Neural Network based
• NLU engine for a chatbot.
• Order Routing Systems: Multiple brokers and stock exchanges.
• ETL pipelines (apache airflow) for market data: Being one of the first
• engineers in the company, I started the market data ETL pipeline and
• setup that still sits at the very core in the company.
• Presented at various conferences, meetups, and webinars.

Oct 2014 – Aug 2015 · 10 mos · New York City Metropolitan Area

• Latency sensitive C++ systems for high frequency trading.
• Machine Learning for trading strategies: Generalized Linear
• Regression.
• Mentoring: Onboarded talented infrastructure engineers.

Oct 2013 – Sep 2014 · 11 mos · Bengaluru, Karnataka, India

• Latency sensitive C++ systems for high frequency trading.
• Machine Learning for trading strategies: Generalized Linear
• Regression.
• Mentoring: Onboarded talented infrastructure engineers.

Jun 2012 – Oct 2013 · 1 yr 4 mos · Greater Hyderabad Area

• As a member of the Visual Studio development team, I worked on:
• Microsoft Release Management Server 2013
• Visual Studio Online - contributed to the vs-online web interface involving huge javascript code.
• Testing tools including MSTest, vstest.console.exe and Microsoft Test Manager
• Dynamic code coverage tool of Visual Studio 2012

Jul 2011 – Jun 2012 · 11 mos · India

• Operating Systems (OS) course

May 2010 – Jul 2010 · 2 mos · Bangalore

• I developed tools to manage Hadoop cluster and Hadoop jobs.
• The main objective was to harness the power of distributed computing for DNA sequence alignment, which is typically a very computation intensive job.