Adeppa Thondur

About Adeppa Thondur

PRINCIPAL-LEVEL BACKEND & GENAI SYSTEMS ARCHITECT with 15+ years designing and scaling enterprise-grade distributed systems and AI platforms that drive measurable business outcomes. Currently leading enterprise GenAI IVR transformation at Lowe’s, migrating legacy NLU to an LLM-driven conversational architecture processing 70M+ annual calls (100K+/day) — increasing containment from 18% → 40% and materially reducing operational cost and agent dependency. Architected scalable RAG frameworks leveraging GPT-4/5, Whisper, Google ADK, and FAISS to enable real-time transcript intelligence and contextual retrieval at production scale. Built high-throughput microservices and search platforms delivering sub-second latency under sustained high TPS workloads. Drove 50% infrastructure cost reduction, 40% faster query performance, and 96% indexing acceleration through platform re-architecture and cluster optimization. I operate at the intersection of AI strategy, platform architecture, and engineering leadership — modernizing legacy ecosystems into scalable, AI-native systems built for enterprise scale.

Experience

1. Lead Engineer

   Lowe's Companies, Inc.

   Feb 2020 — Present · Bengaluru, IN

   Led enterprise-wide GenAI transformation of IVR systems across 70M+ annual calls.• Architected and delivered a GenAI conversational platform replacing legacy NLU systems, improving containment from 18% → 40%• Built scalable IVR analytics platform processing 100K+ calls/day with real-time transcription and AI-powered intent intelligence• Designed RAG-based architecture using OpenAI GPT-4/5, Whisper, Google ADK, FAISS• Built domain-driven microservices (FastAPI, Kubernetes, API Gateway) doubling throughput while maintaining sub-second latency• Reduced search latency by 40% and improved indexing speed by 96% through Elasticsearch optimization• Achieved 50% infrastructure cost reduction through autoscaling and cluster redesign• Led 10-member engineering team: architecture governance, hiring, roadmap ownership• Partnered with Product leadership to align AI platform strategy with enterprise roadmap

Education

• Z P H school Kodavandla palli

  School education, Mathematics

  1991 — 2001

• Osmania University

  Master of Computer Applications (M.C.A.), Computer Science

  2006 — 2009

• Sri sai jr colleage

  Intermediate, MPC

  2001 — 2003

• Sri Krishnadevaraya University

  Bachelor's degree, Electronics

  2003 — 2006

Skills

• Agile Methodologies
• Java Database Connectivity (Jdbc)
• Software Development Life Cycle (Sdlc)
• Java
• Xml
• Oracle
• Rest
• Requirements Analysis
• Java, Sql,Jsp, Servlets, Jdbc,Spring, Struts, Junit,Hibernate,Jaxws,Rest
• Javascript
• Solr
• Spring
• Hbase
• Soap Webservices
• Tomcat
• Eclipse
• Databases
• Learning to Rank
• Design Patterns
• Web Applications
• Java Enterprise Edition
• Websphere
• Hadoop
• Subversion
• Mysql
• Apache
• Soa
• Hive
• Big Data
• Struts
• Solr,Lucene
• Web Services
• Mapreduce
• Sdlc
• Xslt
• Apache Pig
• Json
• Apache Storm
• Scala
• Spring Framework