Gautam Sumu

Co-Founder

Bengaluru, Karnataka, India11 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

ACM ICPC 2014 World Finalist
5+ years in low latency trading systems
Expertise in machine learning for stock market predictions

Stackforce AI infers this person is a Fintech expert with strong capabilities in low latency trading and data analytics.

Contact

gautamsumu@gmail.com LinkedIn

Skills

Core Skills

Low Latency InfrastructureMarket Data AnalysisWindows AzureStatistical TechniquesFinancial Data AnalyticsJava Api Development

Other Skills

.NETAlgorithmsArtificial IntelligenceBashCC++Code OptimizationComputer Network OperationsData AnalysisData StructuresDatabase DesignDatabasesFunctional ProgrammingJavaJavaScript

About

Self motivated and fast learner competitive coder working in low latency field for 5+ years. Was an ACM ICPC 2014 world finalist and had cleared the prestigious IIT JEE 2010 with a rank of 36. Worked on almost every software component of a high frequency trading system. Applied machine learning on GBs of stock market data for price prediction. Looking forward for new challenges and would like to work on some cutting edge technology in product development.

Experience

Psyquant research llp

Partner

May 2018 – Present · 7 yrs 10 mos · Bengaluru, Karnataka, India

Alphagrep securities

3 roles

Associate

Jul 2016 – Mar 2018 · 1 yr 8 mos

Senior Analyst

Promoted

Jul 2015 – Jun 2016 · 11 mos

Analyst

Jun 2014 – Jun 2015 · 1 yr

Building and maintaining low latency infrastructure for high frequency trading in various stock exchanges
Developed multi-threaded software tools to decode market data and send orders within a few microseconds for Korea(KRX) exchange
Developed a data distributor tool to publish market data from server at one exchange to several other servers in different exchanges in real time
Working with senior traders to develop and implement new strategies and indicators by finding patterns in market
Optimizing codes to analyze past market data and build models to predict future price movements

Low Latency InfrastructureMulti-threaded Software DevelopmentMarket Data AnalysisCode Optimization

Microsoft india development center

Software Development Engineer Intern, Azure Division

May 2013 – Jul 2013 · 2 mos · Hyderabad, India

Designed and developed a Windows Azure Cloud project to identify the issues faced by the clients of Azure Cache services and tried to find their probable root causes
Worked with MDS Databases to fetch the alerts fired by various client systems and applied K-Means clustering algorithm with variable parameters to bucket the similar alerts
Queried for the diagnostic data including performance counters of the systems having the identified issues and used statistical techniques on them to figure out the problem
Automated the process to run periodically and showed the analysis report on a web portal

Windows AzureK-Means ClusteringStatistical TechniquesWeb Development

Coreathena systems

Software Developer Intern

May 2012 – Jul 2012 · 2 mos · Mumbai, India

Worked in the field of live financial data analytics, ranging from data collection, organizing, management, and performing statistical and other algorithmic computations
Developed a Java API to interact with the Trader Workstation (TWS) of Interactive Brokers which included functions like placing TWAP orders and calculating Average Impact Cost
Learnt and wrote VBA Macros in Excel to automate downloading of various types of financial data from Bloomberg in an efficient and organized manner

Financial Data AnalyticsJava API DevelopmentVBA Macros