Summary
Overview
Work History
Education
Skills
Timeline
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Neethu Sravanthi Chintala

Hyderabad,TG

Summary

Module Lead with 6+ years of full-stack development experience and 2+ years specializing in production-scale Generative AI solutions. Proven expertise in architecting enterprise RAG systems, leading AI modernization initiatives, and delivering measurable business value through intelligent automation. Strong foundation in Azure AI ecosystem, agentic AI frameworks, and modern software architecture. Currently advancing AI expertise through M.Tech program while driving innovation in production environments. Demonstrated success in leading cross-functional teams, optimizing AI performance, and implementing cutting-edge technologies including LangGraph, advanced RAG techniques, and open-source LLMs.

Overview

6
6
years of professional experience

Work History

Module Lead

WinWire Technologies
06.2019 - Current
  • Led enterprise GenAI initiatives across 10+ production applications, architecting end-to-end RAG systems using Azure OpenAI GPT-4o, Python FastAPI, and advanced retrieval techniques like RAG Fusion, serving 2000+ users with 95%+ accuracy
  • Architected intelligent automation solutions using LangGraph agentic AI framework, Azure Document Intelligence, and Azure AI Search with semantic/vector indexing, reducing manual processing time by 60%
  • Built production-ready AI platforms including Brand Adherence GenAI module, WinCDA document comparison system, and KnowledgeFusion multi-domain chatbots, integrating Azure Speech Services and custom voice synthesis
  • Implemented MLOps best practices with Docker containerization, Azure Function Apps, and CI/CD pipelines, managing deployments across multiple environments with 99.5% uptime
  • Pioneered RAG evaluation frameworks using RAGAs and DeepEval for automated ground truth generation, optimizing response accuracy through systematic prompt tuning and model fine-tuning
  • Led cross-functional AI teams in hackathon initiatives focusing on agentic RAG architectures, successfully delivering innovative solutions within tight deadlines
  • Developed low-code AI solutions using Microsoft Copilot Studio and Power Automate, enabling rapid prototyping and deployment of intelligent automation workflows

Education

Master of Technology - Artificial Intelligence And Machine Learning

BITS PILANI
Hyderabad, India
10-2025

Bachelor of Technology - Information Technology

SIR CRREDDY COLLEGE OF ENGINEERING
Eluru, India
04-2019

Skills

  • Large Language Models: Azure OpenAI models, Llama (open-source), NVIDIA models, Prompt Engineering
  • RAG & Retrieval: Advanced RAG techniques, NVIDIA RAG, RAG Fusion, Vector Databases (Weaviate, FAISS), Semantic Search
  • AI Frameworks: LangGraph, LangChain, Hugging Face Transformers, Agentic AI Systems
  • Evaluation & Testing: RAGAs, DeepEval, Ground Truth Generation, Response Accuracy Optimization
  • Embeddings: NVIDIA Embedding Models, Azure AI Search, Vector Indexing, Semantic Ranking
  • Azure AI Services: Azure OpenAI, Document Intelligence, AI Search, Speech Services, Cognitive Services
  • Azure Infrastructure: Function Apps, Web Apps, Storage, Cosmos DB, Application Insights
  • Authentication & Security: Azure AD, Content Safety Filters, Enterprise Security Integration
  • Deployment: Docker, Azure DevOps, CI/CD Pipelines, Multi-environment Management
  • Backend Development: NET Core/NET 80, Python FastAPI, Django, Microservices Architecture
  • Frontend Technologies: Angular 17, Blazor, HTML5, CSS, TypeScript, Bootstrap
  • Database Systems: SQL Server, Entity Framework Core, NoSQL (Cosmos DB), PostgreSQL, Vector Databases

Timeline

Module Lead

WinWire Technologies
06.2019 - Current

Master of Technology - Artificial Intelligence And Machine Learning

BITS PILANI

Bachelor of Technology - Information Technology

SIR CRREDDY COLLEGE OF ENGINEERING

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Neethu Sravanthi Chintala