Mugunthan R

About Mugunthan R

As a seasoned architect and technical leader, I specialize in designing and implementing robust, scalable, and low-latency systems. My experience spans critical areas like document processing, information retrieval (RAG-based applications), and real-time data feeds.In my role on Alexa Documents, I spearheaded the architectural design for customer document storage and processing, optimizing for efficiency and accessibility. I led the development of a RAG-based application for document retrieval, actively engaging with stakeholders to refine chunking strategies and prompt engineering for accurate and relevant customer responses. Furthermore, I architected and led the framework for client engagement, translating document insights into actionable steps.For Alexa Social Feed, I designed and implemented a highly reactive component capable of pushing real-time updates to user feeds, driven by multiple signal listeners. My focus was on building a system that delivers feed responses with exceptionally low latency, capable of handling approximately transactions per second (TPS).My expertise includes:1. System Architecture & Design: Proven ability to design complex, scalable, and high-performance systems.2. Information Retrieval (RAG): Experience in building and optimizing RAG-based applications for accurate document retrieval.3. Real-time Data Processing: Designing and implementing reactive systems for instant updates and low-latency responses.4. Stakeholder Collaboration: Effectively collaborating with clients and internal teams to gather requirements and deliver impactful solutions.5. Performance Optimization: Building systems capable of handling high transaction volumes with minimal latency.I am passionate about leveraging technology to solve complex problems and create seamless user experiences.

Experience

1. Software Development Engineer

   Amazon

   Jan 2024 — Present

   Working as part of Alexa Documents. Enabling alexa understand documents by processing images / documents and supporting real time and stateful Q&A on documents with RAG systems

Education

• PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH

  Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

  2016 — 2020

• The University of Texas at Austin

  Master of Science - MS, Artificial Intelligence