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Kanwal Prakash Singh .
Quant Trader | AI
About
Kanwal Prakash Singh is a highly skilled Quant, Strategist, Algorithmic Trader, and AI expert with over 8 years of experience in the field of Quantitative Finance. He has a strong interest in Quant and Financial Engineering, Artificial Intelligence, Policy Analysis, Strategies for Growth and Development. Kanwal has worked with well-known startups including Housing.com and IREF.com as Head of Engineering. After that, he moved into Quantitative Finance, working with HFT Firms and Multi-Strategy Funds. He has also published white papers on operational optimization and has a patent pending in NLP in the USA. Kanwal’s most recent role was as the Head of Quant Department in CoinDCX, where he set up the OTC Desk and Liquidity Management for the Exchange. He created models for interest rates, leverage determination, and Probabilistic Fraud Analysis. He also set up practices for Economic Analysis of Trade Competitions and Fee Tiers along with competition benchmarking. Currently, Kanwal is a Founding Quant Member at 5 Swans, where he is responsible for building Systematic Quant Trading Strategies using Machine Learning and Artificial Intelligence Models on top of market microstructures. Kanwal has a strong educational background, having completed his Btech in Computer Science from the Indian Institute of Technology, Bombay, in 2013. He also completed his schooling from Sir Padampat Singhania in 1997. Kanwal has a strong tech stack, including AI, Web3, NLP, ML, and Senior Software Engineer. In his free time, he indulges in bill/regulation/policy analysis and composing music. Overall, Kanwal is a highly skilled and experienced Quant, Strategist, Algorithmic Trader, and AI expert with a strong educational background, making him a valuable asset to any organization.
Education
• iit bombay indian institute of technology bombay
• sir padampat singhania
Companies
• william oneil india
• 5 swans
• coindcx
• theremin ai
• quantai capital
• edelweiss
• housing
• irefhousing.com
• intuit
Experience
10.2 Years
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Experience
Head - Quantitative Trading | Key Investment Team Member - O'Neil India Quant Fund
2023 - Present
Skills
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ActionScript
AJAX
Algorithm Design
Algorithms
Analytics
Android
Android Development
Apache
API
Artificial Intelligence
Artificial Intelligence (AI)
C
C++
Computer Music
Computer Science
Data Mining
Data Science
Data Structures
Databases
DevOps
finance
Genetic Algorithms
Hibernate
HTML
HTML 5
HTML5
Information Extraction
Information Retrieval
Java
JavaScript
jQuery
Machine Learning
Machine Learning (ML)
Matlab
MongoDB
Music
MySQL
Natural Language Processing
Natural Language Processing (NLP)
Nginx
NoSQL
OOP
Optimization
ORM
PHP
Programming
Python
Quantitative Finance
Realtime
Redis
Research
Research Scientist
Ruby
Ruby on Rails
Scalable Architecture
Senior Software Engineer
Software Development
Software Engineering
Solr
Solrj
Spring
Spring Framework
SQL
Stack
strategy
SVM
Trading
Version Control
Web Applications
Web Development
Contact Details
Email (Verified)
kpsXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX31Education
iit bombay indian institute of technology bombay
Btech
2009 - 2013
sir padampat singhania
1997 - 2009
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