Greater New York City 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.
