Shashank Goel
Quantitative Trader
London, England, United Kingdom
Summary
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Top SchoolShashank Goel is a quantitative trader and UCLA MS computer science student with eight years of experience applying machine learning and statistical models to finance. He blends hands-on trading experience at Tower Research Capital with academic research in self-supervised multimodal learning and deep generative models under Prof. Aditya Grover, collaborating with Adobe Research. An IIT Delhi alumnus who worked on neuro-symbolic reasoning and AI during his undergraduate thesis, he bridges rigorous research with production trading systems. Comfortable across research, teaching, and trading roles, he focuses on scalable vision-language models whose insights he aims to translate into impactful, real-world decision systems.
7 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)University of California, Los Angeles
English, Hindi, French
Github Skills (12)
climate-science9
climate-change8
deep-learning6
machine-learning6
google-tag-manager4
computer-vision3
location3
image-processing3
crf2
nlp2
pii2
bert1
Programming languages (2)
Github contributions (5)
goelshashank007/Cannon-AI
Aug 2019 - Nov 2019
An implementation of the game Cannon. Support for clients to play on a central server.
Contributions:25 commits, 19 pushes in 2 months
cannonclientsgamecentral-server
dair-iitd/TourismQA
May 2020 - Nov 2021
Contributions:4 commits, 17 pushes in 1 year 5 months
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