Dec 2024 – Jul 2025 · 7 mos

• Contributed to the Amazon Pay Reminder Platform, a cloud-based system delivering notifications across
• multiple channels (Email, Push Notifications, WhatsApp, and in-app Widgets) to enhance customer engagement
• and payment compliance.
• Designed and implemented an interactive questionnaire module that dynamically collects client inputs
• and recommends the most suitable notification platform for their use case.
• Delivered feature enhancements, bug fixes, and migration tasks, improving platform stability and
• operational efficiency in a high-availability production environment.
• Tech stack: Java, TypeScript, AWS.

Apr 2023 – Sep 2024 · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

• Designed, developed, tested, and load-tested features for a bot mitigation product handling 45,000 requests
• per second (RPS) with processing latency under 10 ms.
• Designed and deployed IP/subnet whitelisting and blacklisting features, and contributed to anti-bot solutions
• targeting script-based attacks.
• Worked extensively with Java, Python, Redis, Docker, and gained exposure to Kafka, Kubernetes,
• Nginx, Lua, PHP, BigQuery, and Google Cloud Platform.

Apr 2022 – Feb 2023 · 10 mos

• Contributed to a project that is a centralized tool to manage, configure, and maintain the enterprise network.
• Responsibilities included designing, developing, and testing APIs that configure switches and routers,
• eliminating the need for manual command-line interface (CLI) operations.
• Users only need to provide the required information in the UI, and the backend generates and
• configures switches and routers with the correct settings, enhancing the overall user experience.
• Technologies worked on include FastAPI and MariaDB.

Jan 2021 – Mar 2022 · 1 yr 2 mos

• Contributed to an AI/ML framework for telecom. The core feature of this framework is that users
• can perform feature extraction, write models, train models, save models, and retrain models when
• needed.
• My role included designing, developing, and testing APIs that trigger feature extraction and model
• training.
• This is now part of the ORAN SC open-source project: https://gerrit.o-ran-sc.org/r/admin/repos
• Technologies used include Flask, MariaDB, Docker, and Kubernetes.