Shubham Jindal

IIT Guwahati, Computer Science & Engineering, Undergraduate

SUNY: Stony Brook University, Computer Science, Graduate Student

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I am a seasoned Software Engineer with over 5+ years of experience in the tech industry. I spent two years at Flipkart (a Walmart subsidiary), where I led a team of software and data engineers. Then I joined TikTok where currently I am leading a team of software engineers.

My expertise lies in designing and developing scalable data pipelines and visualization solutions using technologies such as Apache Spark, Kafka, and other distributed computing environments. I have a strong foundation in software engineering, following the full Software Development Life Cycle (SDLC), including high-level and low-level design in microservice distributed system environments, as well as implementation in Golang, C++, Python, and Java, based on project requirements. Additionally, I have extensive experience working with various database technologies, including SQL, NoSQL (Redis, Hive, MongoDB), and graph databases. I have extensive experience in building payment systems which I got from my current workplace TikTok

I hold a Bachelor's degree in Computer Science from the prestigious Indian Institute of Technology (IIT) and a Master's degree in Computer Science from Stony Brook University.
Phone: +16317100162
Address: 1075 space park way, spc 299, 94043, Mountain View, California, USA

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Introduction to Digital Payments in the United States of America

International Journal of P2P Network Trends and Technology, 2025

Digital Payments in the USA are revolutionizing, and to be ahead in the growing sector, it is ess... more Digital Payments in the USA are revolutionizing, and to be ahead in the growing sector, it is essential to understand how digital payments in the USA work, which is significantly different from how some other countries, like India, process payments. At the core of USA digital payments is the Authorization and Capture, which is not followed in countries like India. This article will summarize core digital payment concepts and provide an overview of how digital payments work in the USA. We will review Payin, Payout, Refund, Authorization Reversal, Void, Chargebacks , and Reversal Adjustments. The article will then explain payment flows in offline and online environments. It will then introduce advancements in online payments, which use merchant-initiated captures along with partial voids, partial Capture, and partial refunds. This article will focus only on credit and debit card transactions. In the future, the article will discuss 1) wallet-based transactions such as Apple Pay, Google Pay, Venmo Card, 2) Account-to-Account transfers or p2p transfers such as Zelle, Venmo Wallet, 3) Settlement, Payout, Chargebacks & Reconciliation in more detail.

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Monitoring Server Health in Private Cloud Data Centers: A Scalable Approach

International Journal of Computer Trends and Technology, 2025

With the increasing costs of public cloud services such as AWS, Azure, and GCP, many companies op... more With the increasing costs of public cloud services such as AWS, Azure, and GCP, many companies opt to establish their private cloud infrastructure. This transition necessitates the development of an adequate Infrastructure as a Service (IaaS) team to manage and maintain the data center. A key challenge in this domain is monitoring the health of the bare metals (also called servers) to ensure high availability and reliability. This paper presents a comprehensive approach to bare metal health monitoring in private data centers. We will discuss the problem statement literature review, outline an industry-standard solution, propose a high-level system design to ensure real-time monitoring, fault detection, and automated remediation, and provide experimental results to show how our approach is better than existing industry solutions.

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Ensuring Configuration Consistency Across Multi-Regional Data Centers

International Research Journal of Modernization in Engineering Technology and Science, 2025

Today nearly every big company operates several data centers spread across the world. Each of the... more Today nearly every big company operates several data centers spread across the world. Each of these data centers hosts a variety of infrastructure services like MySQL, Redis, Hive, Message Queue etc. Now for any company it's very important to write the same code for all regions for scalability and following the DRY (Don't repeat yourself) aspect of system design. But the people who are designing and writing these codes are spread across multiple regions and due to that sometimes they are not aligned on every system configs. Sometimes even within the same region software engineers are not aligned properly on these system configs as to what system configs to keep for that region. Because of that, data center system configs start differing across multiple regions. Now it is very important to make sure these configurations are the same across all regions because it can lead to major critical issues in your team. In this paper, we will first introduce what the problem is, then we will talk about existing solutions and then we will talk about proposed solutions and how it tackles all the problems listed in the introduction section.

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