Quality Assurance Engineer
Ram Bharath
Amazon
London
Overview
Quality Engineering professional with 14+ years of experience in test automation, AI/LLM validation, distributed systems, API testing, and platform/device quality engineering. Experienced in designing scalable test strategies, debugging complex backend workflows, validating AI decision logic and LLM responses, and driving quality across large-scale products at Amazon. Strong background in automation architecture, API validation, system integration, cross-platform testing, and release readiness across AI and Fire TV ecosystems.
14+
Years of experience
04+
years of post-secondary education
Work History
09.2025 - Current1 Year 1 Month
Quality Assurance Engineer
Amazon
- Lead quality validation for Fire TV platform and Live TV functionality, working across middleware, OEM integrations and SoC configurations.
- Platform & Device Quality Engineering
- Own end-to-end QA for Fire TV Live TV middleware across multiple OEM/device configurations.
- Validate platform compatibility across MediaTek and Amlogic SoCs.
- Test Fire TV integrations across TCL, Hisense, Panasonic, Xiaomi and Haier devices.
- Validate channel scanning, middleware integration and platform-level functionality.
- Support Sev-level investigations through system debugging and cross-component analysis.
08.2017 - 09.20258 Years 1 Month
Quality Assurance Engineer
Amazon
- Led quality engineering for AI-powered Alexa messaging workflows, including LLM validation, ML decision logic, backend API testing and distributed-system debugging.
- AI / LLM Quality Engineering
- Owned end-to-end QA for LLM-powered contact ranking across Email, Text and Calling workflows.
- Performed LLM trace analysis, API-chain validation and parameter verification to identify incorrect responses and hallucination risks.
- Designed ML decision-logic validation matrices covering high-, medium- and low-confidence conversational scenarios.
- Reduced regression scope from 80+ scenarios to 18 optimized cases (~78% reduction) using risk-based test design.
- Identified critical backend defects across distributed messaging services through trace-level debugging and cross-service validation.
- Built automated integration tests for CRSS ResolveRecipientDetails APIs, improving deployment safety.
- Acted as QA point of contact for services, coordinating defect triage with SDEs, TPMs and SDMs.
01.2016 - 08.20171 Year 7 Months
QA Engineer
Hexaware Technologies
- Delivered QA for enterprise retail and payment platforms, including Tesco.
- Improved test effectiveness by 90% through structured peer-review practices.
- Achieved 95%+ cross-device compatibility across functional, regression and GUI validation.
02.2012 - 01.20163 Years 11 Months
QA Automation Engineer
Aspire Systems
- Developed automation solutions for healthcare and retail platforms using Ranorex, TestComplete and Selenium.
- Reduced manual testing effort by 40% through medical imaging automation.
- Reduced regression execution time by 80% through automation.
- Improved defect resolution speed by 50% through enhanced debugging workflows.
Education
Bachelor of Engineering | Computer Science
Noorul Islam College of Engineering | 09.2007 - 04.2011
Noorul Islam College of Engineering
09.2007 - 04.2011
Skills
Accomplishments
- Reduced regression execution time by 80% through automation framework development.
- Reduced regression scenarios from 80+ to 18 (~78%) through risk-based test optimization.
- Improved API performance by up to 70% through latency analysis and backend debugging.
- Identified critical defects in LLM-powered conversational workflows through trace-level validation and API debugging.
- Delivered cross-platform validation across AI services, Fire TV middleware, OEM devices and multiple SoC platforms.
Timeline
Quality Assurance Engineer
Amazon
09.2025 - CurrentRead more
Quality Assurance Engineer
Amazon
08.2017 - 09.2025Read more
QA Engineer
Hexaware Technologies
01.2016 - 08.2017Read more
QA Automation Engineer
Aspire Systems
02.2012 - 01.2016Read more
Noorul Islam College of Engineering - Bachelor of Engineering, Computer Science
09.2007 - 04.2011Read more