Navin Gv

About Navin Gv

Appstore & Fire TV - Driving scalable, low-latency Offer Discovery systems across Fire TV and Kindle Tablets for global marketplaces (NA, EU, FE) improving reliability, latency, and offer accuracy. Leading Appstore Discovery Services (Search, Recommendations, Compatibility, Reviews) contains catalog replication, data pipelines, and entitlement-aware workflows. Championing AI/LLM adoption to boost engineering velocity, code quality, and team productivity.2. Amazon Academy - Joined as initial founding member of Amazon Academy - edtech platform, helps students to prepare for JEE and NEET exams. I lead multiple initial intiatives - content publishing, discovery & delivery, unified notification system, front end architecture & enabled marketing to acquire and engage customers. InterviewDesk - Joined as founding member of the tech and product team, built the team and product from scratch. We were reimagining how the interviews are done today. Interview Desk is the Uber for interviews, we seamlessly connect hiring managers, potential candidates & skilled interviewers to streamline the interview process and help hiring managers to make the right decision. Our vision is to enable the candidate driven autonomous interviews at scale.4. Kindle Reading Experiences - Build Multiple features in Kindle across platforms - Kindle For Android, Kindle For Fire Tablets, E-Ink Reader, Kindle for Fire Phone. Key features to call out are Zero touch Vertical Scroll in Fire Phone, Unifying the Components for Tablet and Phone, Accessibilty Screen Reader for eInk, Enabled Book Indexing & Search in eInk device, Prepared conent for iOS and WebReader.

Experience

1. Senior Software Development Engineer

   Amazon

   Nov 2023 — Present · Chennai, IN

   Building Scalable, Reliable & Latency Sensitive, E2E Offer Discovery Systems for Fire TV, Kindle Tablets across multiple marketplaces in NA, EU Regions.Lead Multiple Initiatives to improve Offer Sourcing, Validity - Workflow system, Entitlement Awareness, Discovery Funnel Improvements, Architecture Simplification - Latency & Reliability Improvements. Lead Discovery System (Search, Recommendation, App Metadata, Compatibility, Reviews) for Appstore Fire TV. The system involves catalog replication workflow, customer behaviour metrics ingestion data pipeline, search clusters - keyword search & vector search.Evangelized AI/LLM for day to day work (ticket analysis, code review, SDK uplevel, building project context, code to doc generation, design diagram generation) across team and driving engineering efficiency & time to market and velocity improvements.

Education

• Anna University Chennai

  Bachelor of Engineering (B.E.), Computer Science

  2007 — 2011

Skills

• Ajax
• C
• Programming
• Html
• Unix Shell Scripting
• Robolectric
• Java
• Visual Studio
• Lambda Expressions
• Php
• Design Patterns
• Jquery
• Unix
• Algorithms
• Amazon Web Services (Aws)
• Testng
• Web Services
• C#
• .net
• Oop
• C++
• Xml
• Javascript
• Sql Server
• Backend Development
• Cloud Computing
• Agile Methodologies
• Android Application Development
• Mysql
• Distributed Systems
• Software Development
• Python
• Sql
• Linux
• Asp.net
• Grails
• Eclipse
• Object Oriented Design
• Intellij Idea
• Core Java