Speaker

Hanuma Pedaprolu

Hanuma Pedaprolu

Solution Architect at EPAM

Hyderābād, India

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Hanuma is an aspiring polyglot programmer and a learner for life. He likes to talk to fellow developers about various technologies, trends, and their applications to business problems. In his free time, he loves to travel across the country.

Area of Expertise

  • Government, Social Sector & Education
  • Health & Medical
  • Real Estate & Architecture
  • Transports & Logistics

Topics

  • Technology
  • Artificial Intelligence
  • JavaScript
  • Database
  • ReactJS
  • Vue
  • secure coding
  • Microsoft Technologies
  • Azure
  • microservices
  • Micro Frontend
  • functional programming
  • Spring Data JPA
  • Spring Boot
  • Spring Security
  • mongodb
  • SQL Sever
  • performance tuning
  • C#
  • Google Document AI
  • OCR
  • Document Classification
  • MicroFrontend
  • MicroServices
  • Typescript
  • generative ai
  • Computer Vision
  • Architecture of Web-Apps
  • architecture patterns
  • Solution Architecture
  • java
  • websecurity
  • cybersecurity
  • Cybersecurity Threats and Trends
  • Application Security
  • Secure SDLC
  • Secure Code
  • Secure Design
  • Cloud Security
  • Cloud Native Development
  • LLMOps
  • LLMs
  • Generative AI
  • GenAI
  • Generative AI Use Cases

Extracting information from documents leveraging the power of Azure Form Recognizer

Documents are everywhere. Many organizations and businesses spend a lot of time and human effort in verifying the documents and making entries into their online systems for downstream processing. Leveraging the power of AI and OCR, majority of the time and effort that goes into working with documents can be saved and used elsewhere. In this session, we’ll see how Azure Form Recognizer helps us extract information from documents. We’ll also see the possible architectural patterns that can be implemented.

Hanuma Pedaprolu

Solution Architect at EPAM

Hyderābād, India

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