Raghukul Raman
Quantitative Researcher
Uttar Pradesh, India
Summary
👤
Senior🎓
Top SchoolRaghukul Raman is a quantitative researcher and IIT Kanpur Computer Science senior with nine years of industry experience building data-driven trading systems and scalable software. He has driven algorithmic strategies and ML models at Graviton Research Capital and Quadeye, and interned on Tower Research’s Limestone team where his ensemble and neural approaches improved PnL signal generation. His background spans production-scale engineering—designing a geohash-based, consistent-hashed task allocation system at Dunzo handling ~1M orders/month—and mathematical software contributions to SageMath through Google Summer of Code. Raghukul combines deep algorithmic thinking (including number-theoretic optimizations that cut runtime by an order of magnitude in Sage) with practical, concurrent system design used in real trading and logistics environments. Comfortable across research prototyping and productionization, he excels at turning large historical datasets into efficient features and deployable strategies. Based in Uttar Pradesh, he blends academic rigor with hands-on execution in quant research and high-throughput systems.
9 years of coding experience
Indian Institute of Technology Kanpur
Github Skills (52)
twitter10
elgg10
php-mysql10
javascript9
networking9
open-source9
social-networking9
php9
quantitative8
angular8
mysql8
trading7
csharp7
backtesting-trading-strategies7
java7
Programming languages (8)
Github contributions (5)
raghukul01/Competitive_programming
Jun 2017 - Mar 2018
Contributions:14 commits, 7 pushes, 1 comment in 9 months
raghukul01/Randomized_Algorithms
Aug 2018 - Nov 2018
Contributions:33 commits in 2 months
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