Ashutosh Agarwal
Quantitative Research Intern
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolAshutosh Agarwal is a final-year BTech student at IIT Bombay with a strong focus on AI and data-driven solutions, currently working as a Quantitative Research Intern at Kivi Capital. He has hands-on experience building transformer-based multimodal representation models at Stanford and applying ML across domains—from generative AI at RealtyAI to data analytics and product-facing internships. Ashutosh pairs technical depth in PyTorch, self-attention architectures, and applied data science with practical mentoring and leadership roles on campus, having served as an academic mentor and institute convener. Despite being early in his career, he brings an unusual breadth across research, finance, and student leadership, positioning him to translate complex models into impactful, real-world applications.
20 years of coding experience
Indian Institute of Technology BombayNarayana Junior College - India
Github Skills (17)
coin-or10
mixed-integer-programming10
open-source10
combinatorial-optimization10
nonlinear-optimization10
subversion9
scilab9
constrained-optimization4
optimization-methods3
newton-method3
mathematical-programming2
optimization2
numerical-optimization2
quadratic-programming2
cpp2
Programming languages (4)
Github contributions (5)
coin-or/minotaur
Nov 2012 - Jan 2023
Minotaur Toolkit for Mixed-Integer Nonlinear Optimization
Contributions:2 releases, 450 commits, 3 PRs in 10 years 4 months
nonlinear-optimizationoptimization-algorithmscombinatorial-optimizationinteger-optimizationmixed-integer-programming
minotaur-solver/minotaur-solver.github.io
Jun 2019 - Aug 2024
Contributions:28 pushes in 5 years 2 months
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