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.
19 years of coding experience
Indian Institute of Technology BombayNarayana Junior College - India
Github Skills (32)
nonlinear10
coin-or10
mathematical-programming10
mixed-integer-programming10
rubiks-cube10
solver10
open-source10
combinatorial-optimization10
integer10
numerical-optimization10
nonlinear-optimization10
optimization10
scilab9
toolbox8
coingecko4
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
optimization-algorithmsnonlinear-optimizationnonlinearintegeroptimization
minotaur-solver/minotaur-solver.github.io
Jun 2019 - Aug 2024
Contributions:28 pushes in 5 years 2 months
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