Prathamesh Borhade
SDE @ Amazon | GenAI | LLMs | Java | Distributed Systems | PADI Advanced Open Water Scuba Diver
- Role
- Sde at Amazon
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Prathamesh Borhade
I am a System Development Engineer at Amazon Pay with 4+ years of experience building and operating large-scale distributed systems in high-traffic, mission-critical environments- I have led end-to-end development of features impacting millions of users — including checkout experiences, customer support workflows, security migrations, and reliability engineering initiatives. My work has directly driven business impact such as a $3.16M increase in TPV and major improvements in operational efficiency- My core strengths lie in Java backend development, AWS cloud services, system reliability, security engineering (OAuth 2.0, PKCE), and building automation using GenAI and LLMs (Amazon Q, Bedrock). I enjoy designing systems that are scalable, fault-tolerant, and developer-friendly- Currently exploring deeper work in Distributed Systems, Platform Engineering, and GenAI-powered developer tooling.Outside of work, I’m dedicated to fitness and maintaining a disciplined lifestyle.
Experience
Sde
Jun 2024 — Present · Bengaluru, IN
Led development and A/B testing of 3 Amazon Pay checkout button designs across multiple merchants, driving global rollout of the winning design and contributing to a $3.16M increase in TPV in 2023 with projected $17.1M impact for 2024.• Designed and implemented new Customer Care workflows, improving First Contact Resolution by 432 bps and reducing Average Handling Time by 5.18 minutes.• Migrated Amazon Pay OAuth flow from Implicit Grant to Authorization Code Grant with PKCE, strengthening security posture across SDKs and backend services with zero customer-impacting regressions.• Built an Amazon Q powered agentic automation for on-call handover documentation, eliminating ~40 weeks of manual effort annually.• Enhanced fault detection and reduced false alarms by identifying critical bugs in Amazon Pay Checkout services.• Designed end-to-end integration test pipelines for Customer Support systems, reducing manual QA by 1 day/week.• Increased unit test coverage for Alexa Money Domain Services from 70% → 95%, improving reliability and maintainability.
Education
IITians PACE
High School, Science
2015 — 2017
Spicer Higher Secondary School
ICSE
2010 — 2015
Vellore Institute of Technology
Bachelor of Technology - BTech, Computer Science and Engineering
2017 — 2021
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