I am pursuing MS Program at the Institute for Computational and Mathematical Engineering (ICME) with focus on predictive modeling and natural language processing. After graduating from Indian Institute of Technology Bombay with Electrical Engineering department with focus on high-performance computing, I started working as product developer at a financial technology startup. I took up product management role for a while and later started consulting on Quantitative Finance projects with markets and risk teams at banks in Singapore.
Education & Certifications
Bachelor of Technology, Indian Institute of Technology Bombay, Mumbai, Electrical Engineering (2011)
Tennis, Diving, Travelling, Running and casual table tennis
Current Research and Scholarly Interests
Natural Language Processing, Predictive Modelling, Quantitative Finance
Sequential LSTM-Based Encoder for Natural Language Inference, Stanford University (1/1/2017 - 3/1/2017)
Palo Alto, CA
For More Information:
Adversarial Machine Learning against Keystroke Dynamics, Stanford University (10/2016 - 12/2016)
Parallel scheduler for multi-core processor, Swedish Institute of Computer Science (5/2010 - 7/2010)
Worked on multi-threaded programming on the Tilera TlLEPro64 many core processor on a component based prototyping framework called ArchiDeS used for modelling LTE base-band processing.
Network-on-Chip (NoC) architecture prototyping and evaluation, Indian Institute of Technology Bombay, India (8/2010 - 4/2011)
Modeled custom components for on-chip interconnect network to gauge performance of select routing topologies on FPGA-based emulator
Data Science Intern, Microsoft Corp. (June 2017 - September 2017)
Designed and developed recommendation engine for a feature in MS Office Suite. Patent approved for the same.
Senior Consultant, Quantitative Finance, FinMechanics Pte. Ltd. (July 2011 - July 2016)
FinMechanics is a capital markets and risk consulting firm guiding financial institutions on treasury business solutions. I led the Quantitative Consulting vertical for best practices in derivatives valuation and risk assessment.