Rahul Arulkumaran is a founder and full-stack data leader with 8 years of experience building scalable data platforms, predictive models, and ML-driven trading systems across Web3 and traditional stacks. He holds an MS in Data Science and a research track record with 30+ papers, 3 patents, and an h-index of 11, reflecting a strong experimental and publication mindset that informs his product work. At Foundry and Yuma he designed high-throughput ETL and MLOps systems, architected subnets on Bittensor that enabled multi-million dollar trading volumes, and led implementations that turned research into production revenue. Earlier as CEO of Widhya he grew a user base from hundreds to tens of thousands via data-driven, zero-cost growth strategies, and his open-source contributions include competitive-algorithms implementations and readable Python refactors. Now building Browzer, he blends startup grit, academic rigor, and hands-on engineering to deliver operational automation tools for ops teams.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Mahindra University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University at Buffalo
Intermediate, MPC, Intermediate, MPC at Sri Chaitanya Junior Kalasala
A Repository to store implementation of some of the famous Data Structures and Algorithms (mainly in C/C++/Java/Python) for everyone to learn and contribute.
Role in this project:
Back-end Developer
Contributions:20 commits, 23 PRs, 44 comments in 17 days
Contributions summary:Rahul primarily contributes to the "Competitive Coding" aspect of the repository, implementing solutions for Project Euler problems and exploring number theory concepts such as Catalan numbers and divisors. They demonstrate proficiency in Python, writing and modifying code to calculate factorials, sums of digits, and Catalan numbers using binomial coefficients and recursive methods. Additionally, the user refactored and updated existing Python code for improved readability.
Contributions:39 commits, 1 PR, 3 pushes in 1 year 3 months
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