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Rahul Arulkumaran

Rahul Arulkumaran

Founder, AI Engineering Manager, Blockchain and AI Expert

rahulkumaran
San Francisco, CA
Rochester, NY
Joined January 2026

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Summary

Rahul Arulkumaran is a serial entrepreneur with a proven track record of founding and exiting companies. He successfully scaled Widhya, an e-learning platform, from 650 to 15,000 users and co-founded Stonk Society, which raised $200,000 through NFT sales. He is currently working on Browzer, an agentic browser, and has experience with the OnDeck Fellowship. nitter+2
He is a specialist in the intersection of AI, data, and blockchain technologies. He currently serves as an AI Engineering Manager at Yuma, a DCG company, where he leads research in decentralized AI and its integration with blockchain. His expertise extends to data architecture, machine learning, and Web3 ecosystems. forbes+3
Rahul has a strong academic background with a Master's in Data Science from the University at Buffalo and a Bachelor's in Computer Science from Mahindra École Centrale. He is a prolific researcher, having co-authored over 20 papers with significant citations in areas like financial markets, data management, cloud pipelines, and decentralized AI. google+2
As a thought leader, Rahul is a member of the Forbes Technology Council and a technical reviewer for O'Reilly. He frequently shares insights on AI, blockchain, and entrepreneurship through platforms like Medium and X, demonstrating a commitment to advancing the discussion in these fields. forbes+2

Work

Education

Projects

Writing

Optimizing SAP Pricing Strategies with Vendavo and PROS Integration

January 1, 2024

A research paper co-authored by Rahul Arulkumaran with 20 citations.

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Impact of Cloud-Based PLM Systems on Modern Manufacturing Engineering

January 1, 2024

A research paper co-authored by Rahul Arulkumaran with 17 citations.

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Implementing Row-Level Security in Power BI: A Case Study Using AD Groups and Azure Roles

January 1, 2023

A research paper co-authored by Rahul Arulkumaran with 57 citations.

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Integrating Secure Authentication Across Distributed Systems

January 1, 2023

A research paper co-authored by Rahul Arulkumaran with 16 citations.

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Optimizing Data Freshness and Scalability in Real-Time Streaming Pipelines with Apache Flink

January 1, 2022

A research paper co-authored by Rahul Arulkumaran with 25 citations.

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The Role of SAP Advanced Variant Configuration (AVC) in Modernizing Core Systems

January 1, 2022

A research paper co-authored by Rahul Arulkumaran with 24 citations.

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Best Practices for Migrating Legacy Systems to S4 HANA Using SAP MDG and Data Migration Cockpit

January 1, 2022

A research paper co-authored by Rahul Arulkumaran with 18 citations.

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Intelligent capital allocation frameworks in decentralized finance

January 1, 2022

A research paper co-authored by Rahul Arulkumaran with 16 citations.

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Decentralized AI for Financial Predictions

January 1, 2022

A research paper co-authored by Rahul Arulkumaran with 16 citations.

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Analyzing information asymmetry in financial markets using machine learning

January 1, 2021

A research paper co-authored by Rahul Arulkumaran with 79 citations.

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Gamefi Integration Strategies for Omnichain NFT Projects

January 1, 2021

A research paper co-authored by Rahul Arulkumaran with 32 citations.

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Optimizing Data Pipelines in the Cloud: A Case Study Using Databricks and PySpark

January 1, 2021

A research paper co-authored by Rahul Arulkumaran with 24 citations.

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Optimizing Cloud-Based Data Pipelines Using AWS, Kafka, and Postgres

January 1, 2021

A research paper co-authored by Rahul Arulkumaran with 19 citations.

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Transitioning Legacy Systems to Cloud-Native Architectures: Best Practices and Challenges

January 1, 2021

A research paper co-authored by Rahul Arulkumaran with 19 citations.

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Implementing Data Quality and Metadata Management for Large Enterprises

January 1, 2020

A research paper co-authored by Rahul Arulkumaran with 70 citations.

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Enhancing Cloud Data Pipelines with Databricks and Apache Spark for Optimized Processing

January 1, 2020

A research paper co-authored by Rahul Arulkumaran with 62 citations.

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Implementing MLOps for Scalable AI Deployments: Best Practices and Challenges

January 1, 2020

A research paper co-authored by Rahul Arulkumaran with 53 citations.

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Formulating Machine Learning Models for Yield Optimization in Semiconductor Production

January 1, 2020

A research paper co-authored by Rahul Arulkumaran with 52 citations.

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Ensuring Data Quality and Integrity in Cloud Migrations: Strategies and Tools

January 1, 2020

A research paper co-authored by Rahul Arulkumaran with 24 citations.

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MLOps — The why, what and how?

An article on Medium to help ML enthusiasts with no exposure to MLOps, grasp the idea and concept of MLOps.

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Notes

AMAniket Mauryasaid
RARahul Arulkumaran
consistently creates opportunities for new grads—including international students—in ML/AI roles.

Mar 11, 2026