Research in ML, quantitative finance, agent infrastructure, and aerospace engineering

ShravanAnand

CS + Economics · Duke University · Class of 2030

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About

CS + Economics at Duke, Class of 2030, with research spanning machine learning, agent infrastructure, CFD, and quantitative finance.

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028 projects

Projects

Research and engineering projects spanning markets, applied AI, and machine learning, from a coding agent a whole team shares to macro regime detection and a self-evaluating RAG platform, each shipped as working code and data.

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037 awards

Awards

National and state recognition, from a 1st-place science fair win to top rankings in DECA and academic scholarships.

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045 domains

Skills

A working toolkit across machine learning, simulation, and quantitative finance, built through research rather than coursework alone.

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057 roles

Leadership

Founding and leading student organizations, mentoring peers, and growing community programs.

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063 channels

Contact

Open to conversations about research, internships, or anything at the intersection of code, data, and flight.

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