Quadeer Shaikh is a Risk AI Engineer with eight years of experience applying machine learning and AI across finance, telecom, healthcare, and manufacturing domains. Currently at Morgan Stanley, he blends quantitative risk analysis with cutting-edge research interests in computer vision, NLP, representation learning, reinforcement learning, and model compression. His background spans production-focused data science roles—building predictive models for a non-invasive medical device and geospatial network-optimization systems—as well as academic teaching of classical and deep learning techniques. Comfortable moving between research and engineering, he has hands-on experience in end-to-end system design from UI/authentication to model deployment. Based in Mumbai, he pairs an MTech in Artificial Intelligence with practical industry impact, often surfacing non-obvious insights from noisy operational and geospatial data.
8 years of coding experience
2 years of employment as a software developer
Master of Technology - MTech, Artificial Intelligence, Master of Technology - MTech, Artificial Intelligence at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
ICSE, ICSE at North Point ICSE School
ISC, Science, ISC, Science at St. Marys ICSE
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Mumbai University
Full Stack Event Registration CRUD Application for stackHack contest organized by HackerEarth
Contributions:2 pushes, 1 branch in 2 years 1 month
expressjsfull-stackjavascriptexpressregistration
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Quadeer Shaikh - Risk AI Engineer at Morgan Stanley