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VarunV991/README.md

Hi, I'm Varun Velusamy πŸ‘‹

Backend Software Engineer @ PayPal β€” Fintech & Crypto Systems

LinkedIn Email

About Me

I'm a backend engineer who builds and operates high-scale fintech and crypto systems where correctness, security, and reliability are non-negotiable. At PayPal, I work on payment, stablecoin, and reconciliation-heavy workflows under regulatory and time-sensitive constraints, supporting enterprise partners and millions of users.

  • 🏦 Currently building on a crypto trading platform processing $6B+ TPV and serving 7M+ users
  • 🌍 Shipped cross-border PYUSD ↔ Xoom stablecoin payout flows across 150+ countries
  • πŸ”— Own an external-facing orchestration gateway for enterprise crypto transfers (Hyperwallet) used by partners like Google and Toptal
  • ⚑ Delivered backend systems for a time-critical $2B+ crypto distribution under regulatory deadlines
  • πŸŽ“ B.Tech CSE, Vellore Institute of Technology (CGPA 9.18) Β· Published research in IJERT on safe-route recommendation systems

Tech Stack

Java Spring Boot Microservices Python SQL TypeScript JavaScript

GCP REST APIs CI/CD Azure

Experience

PayPal β€” Software Engineer Β· Sept 2022 – Present Β· Chennai

  • Built backend features for a high-throughput crypto trading platform processing $6B+ TPV in 2025, serving 7M+ users
  • Designed cross-border remittance flows integrating PYUSD with Xoom for compliant stablecoin payouts across 150+ countries via partners such as Cebuana and YellowCard
  • Owned an enterprise crypto transfer orchestration gateway (Hyperwallet) β€” auth, idempotency, retries, rate limiting, reconciliation, and compliance orchestration
  • Delivered backend systems for a time-critical $2B+ crypto distribution to Celsius customers, meeting regulatory timelines
  • Recipient of PayPal's Spot Award for end-to-end ownership across Payments, Settlement, and Activities domains

Societe Generale GSC β€” Software Engineer Β· Jul 2021 – Sept 2022 Β· Bengaluru

  • Built and operated Spring Boot microservices on Azure, processing 1M+ records/day with fully automated CI/CD
  • Delivered an application-wide preferences platform, standardizing user configuration management across services
  • Built a lightweight integration layer for external vendor trade data reconciliation with fault-tolerant data exchange

GitHub Stats

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Connect With Me

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  1. Stock-Price-Prediction-using-numerical-and-text-data Stock-Price-Prediction-using-numerical-and-text-data Public

    Stock Price Prediction using the historical stock closing price data and news headlines data of the the stock.

    Jupyter Notebook 2 2

  2. Alumni-Student-Web-Interaction-Portal Alumni-Student-Web-Interaction-Portal Public

    A nodeJS based web application for Alumni - Student Interaction

    HTML 2 2

  3. Flight-Fare-Prediction Flight-Fare-Prediction Public

    A Machine Learning model to predict Flight Fare with flask web app and heroku deployment

    Jupyter Notebook 4

  4. Binary-Classification-Metrics Binary-Classification-Metrics Public

    This package contains various binary classification metric methods.

    Python 1

  5. Color-Game Color-Game Public

    A fun color guessing game using RGB color code.

    JavaScript

  6. Todo-List Todo-List Public

    A fully responsive and innovative todo list.

    CSS