Parth Maheshwari — Software Engineer

Software Engineer focused on scalable systems, automation, and production reliability in fintech. Currently working as a Software Engineer 2 at Rakuten, with experience across startup and enterprise environments in fintech and telecom domains. My work focuses on scalability, observability, automation, and building reliable systems that support faster and more stable releases. Previously at Niyo, I worked in the Credit Card team, collaborating with banks and third-party partners to ensure seamless financial workflows. My work involved frontend and backend systems, production monitoring, automation, and improving end-to-end platform reliability, helping reduce production issues by ~30–40%. I actively worked with tools like Grafana, Datadog, Groundcover, Postman, and Clevertap to monitor distributed systems, debug production issues faster, and improve engineering visibility, reducing debugging time by ~25%. I also built automation and internal engineering solutions using Playwright, improving regression coverage by ~60–70%, while leveraging AI tools like Cursor and Kiro to improve productivity and delivery speed. Previously, I led automation and engineering initiatives for a B2B remittance platform, reducing manual effort by ~50% and improving release cycles by ~30%. I also contributed to mobile platform automation, strengthening reliability across systems. During my internship at Niyo, I worked on the Wealth module involving SIPs, investments, and portfolio workflows, where I implemented API automation and contributed to improving regression stability by ~35%. I started my career at Jio Platforms, working on application security and performance testing, identifying vulnerabilities and improving platform resilience. My experience includes building scalable frameworks and engineering solutions using Playwright, Selenium, Appium, TestNG, Java, and Python, integrated with CI/CD pipelines for faster and more reliable releases. Driven by ownership, problem solving, and continuous learning, I enjoy building systems that scale reliably in production environments.

Stackforce AI infers this person is a Fintech Automation Engineer with a focus on scalable systems and production reliability.

Location: Bengaluru, Karnataka, India

Experience: 1 yr 10 mos