Shubham Singh
AI Quant Tutor @ xAI
About
I’m Shubham Singh, an engineer working across machine learning, AI systems, and quantitative research. I’ve built end-to-end AI and trading systems from predictive pricing models and algorithmic strategies to risk frameworks, data pipelines, and real-time ML deployment. My work spans both research and production, with a focus on systems that perform under real constraints. I’m currently an AI Quant Tutor at xAI, contributing to AI training and improvement, and the founder of Exituity, an AI-powered business navigator for forecasting, valuation, and real-time insights. Previously, I’ve worked as a Quant Researcher deploying systematic strategies, an AI researcher on LLM alignment, and across applied ML roles in finance, healthcare imaging, geospatial analytics, and NLP including work with NYU, UNDP, and multiple research labs. I live with a mission of improving the lives of people around me. Disclaimer: All comments/posts/views are personal and are in no way associated with firms I'm associated with. 📩 shubham.singh@nyu.edu
United States
San Francisco Bay Area
Computer Software
Artificial Intelligence (AI), Quantitative Finance, Leadership, Machine Learning, Quantitative Research, Algorithmic Trading, Statistical Arbitrage, Large Language Models (LLM), Deep Learning, Trading Strategies, Derivatives, Financial Markets, Problem Solving, Microsoft Office, Research, C++, Reinforcement Learning, Finance, Data Science, Python (Programming Language)
Experience
AI Quant Tutor
xAI
Palo Alto, CA
teaching Grok finance, portfolio management and quantitative trading & macrohard some agentic stuff
Quantitative Researcher
Blockhouse
alpha research - worked on forecasting models, data analysis, modelling
AI Researcher
IRT group @ AI Institute of South Carolina
Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations (EMNLP 2025)
Quantitative Research Lead
GoQuant
Miami, FL
Quantitative Research, Infrastructure Development and Core Product Ideation/Development played a key role in several crucial components of the firm's business from monetization of products to performance improvement using quantitative models and optimal execution. ran high frequency market making strategy with (47% projected) 16% (variance corrected) annualized returns while being market neutral. developed 20+ option strategies, option pricing models, asset price and transaction cost forecasting models, and post trade analytics dashboards
Teaching Assistant
New York University
New York, New York, United States
taught R in Finance (Mar 2024 - May 2024) taught management of technology to 50+ students over two semesters. worked with Citizens Bank, Bank of America, Scahill Law and New York City Office of Technology & Innovation helping with AI integration in their core busines.
Quantitative Research Analyst
QuantFarming
nasdaq100 trading
AI Researcher
NYU Langone Health
studied low dimensional latent neural representations of brain images
Data Science Intern
United Nations
New York, New York, United States
climate modelling and geospatial data science to help model climate change and its effects on crop yields. partnered with governments to help them devise better policy to protect crops and farmer livelihood
Management Intern
The Dexterity Global Group
Full-stack Developer Intern
Algorithmic Biologics
Education
New York University
Computer Engineering
Specializing in AI and Financial engineering FRE-GY Quantitative Methods in Finance MATH-GA 2708 Quantitative Strategies and Algorithmic Trading ECE-GY 7123 Deep learning ECE-GY 6303 Probability and Stocastic Processes ECE-GY 6143 Machine Learning
Bharati Vidyapeeth University College Of Engineering, Pune
Computer Engineering
DAV International School, Kharghar
Science
Shubham Singh's Contact Information
Phone
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