Backend Software Engineer with 1.5+ years of experience at PayPal and HPE, specializing in 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 Java/Spring Boot and Next.js solutions.
Backend Engineering, Distributed Systems & Full-Stack
Expert in Java, Spring Boot, Node.js, and microservices architecture with hands-on experience in Kafka, MySQL, PostgreSQL, MongoDB, and distributed caching. Skilled in React/Next.js, system design, database optimization, and event-driven orchestration. Proficient with AWS, Azure, Docker, CI/CD, and AI-assisted development using Cursor, Copilot, and GenAI tools.
Passionate about building reliable, high-performance systems that drive real business impact.
(2020 - 2024) - B.Tech in Computer Science from Vellore Institute of Technology (CGPA: 9.15)
(Mar 2024 - Oct 2024) - R&D Intern at Hewlett Packard Enterprise (HPE).
(Oct 2024 - Mar 2026) - Software Engineer at PayPal — architected high-concurrency checkout microservices, led global expansion across 15+ countries, and optimized performance with Kafka, MySQL, and distributed caching.
Achievements - 2nd Prize in PayPal Ideathon, Global 497 in WorldQuant International Championship 2023, Finalist in Broadridge India Innovation Hackathon 2023
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" Building systems that scale globally and deliver measurable impact — always eager to learn and grow. "
I built a travel advisor website using React Js, Material UI, Google Map React, Rapid API
How I use AI tools like Cursor and GitHub Copilot to build, improve and ship projects faster.
I use AI assistants to quickly understand unfamiliar parts of the codebase, trace data flow, and spot edge cases that are easy to miss in manual reviews.
For new features, I pair program with AI to sketch components, API calls and state management, then refine the implementation to match the product vision and code style.
AI helps me refactor large components into smaller, reusable pieces, improve naming, and modernize patterns while keeping behavior and UI consistent.
By automating boilerplate, tests and repetitive changes, AI tools free up time to focus on architecture, performance, UX and solving the actual product problems.
If you are looking for a backend engineer, full-stack developer, or any assistance regarding your projects then feel free to contact me at harshdeswal81@gmail.com
