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Harsh Deswal

Harsh Deswal

Software Engineer

Talent
BengaluruMember since June 8, 2026
JavaSQLSpring BootMySQLJuno (Distributed Cache)KafkaJenkinsCI/CDDatadogAlertingConcurrencyPythonAwsReactNode.jsDistributed SystemsMongodb
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JavaSQLSpring BootMySQLJuno (Distributed Cache)

About

Backend Software Engineer with over 1.5 years of experience at PayPal and HPE, specializing in building high-throughput Distributed Microservices and scalable web architectures. Proven track record in optimizing system performance, reducing latency by 83%, and driving millions in incremental revenue through robust Java/Spring Boot and Next.js solutions. Expert in System Design, database optimization, and event-driven orchestration using Kafka.

Experience

Software Engineer at PayPal (2024-10 – 2026-03)

  • Architected and Owned a high-concurrency Java/Spring Boot microservice for one-click checkout, managing revenue-critical traffic with strict ACID compliance and 99.99% availability guarantees
  • Scalability & Global Expansion: Led backend compliance and localization for 15+ countries (including Israel and Brazil), unlocking a $1.5B+ annual transaction potential through regulatory-compliant architecture.
  • Orchestrated Event-Driven Flows via Kafka for payment processing, reducing the checkout funnel from 4 steps to 1 and unlocking $15M/month in incremental merchant revenue.
  • Engineered Scalable Backend using MySQL for transactional consistency and Juno distributed cache for low-latency reads, reducing synchronous DB overhead and cutting checkout latency significantly.
  • Infrastructure Efficiency: Optimized resource utilization for Venmo Converge, reducing compute consumption by 90% and generating over $5M/month in cost savings.
  • Observability & Reliability: Implemented Datadog tracing, metrics, and automated alerting, resulting in an 18% improvement in conversion rates and a massive reduction in MTTR (Mean Time To Recovery).
  • Performance Optimization: Developed a high-performance Next.js checkout interface, achieving an 83% reduction in frontend latency and a 24% increase in transaction throughput.

R & D intern at Hewlett Packard Enterprise (HPE) (2024-03 – 2024-10)

  • Automated Validation Systems: Engineered kernel ABI validation workflows using Robot Framework, reducing manual validation efforts by 92% across enterprise system testing cycles.
  • CI/CD Pipeline Engineering: Developed automated test orchestration in Jenkins, accelerating firmware release cycles by 80% through optimized server setup and parallel execution.
  • Reliability Engineering: Automated OS deployment and firmware upgrades for Apache/Copper/Sapphire Hawk servers, reducing configuration errors by 35% and regression defects by 30%.

Education

Bachelor of Technology in Computer Science – Vellore Institute of Technology (2020-09 – 2024-07)

Skills

Software Engineer

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