Shreyas Javali

Confident and detail-oriented Associate Software Engineer with 2+ years of hands-on experience in building secure, scalable web applications using .NET technologies and Blazor. Proficient in Python and prompt engineering for legal document processing using LLMs, contributing to increased automation and data accuracy. Adaptable, quick to learn, and committed to continuous improvement and team collaboration.

• Built a web-based document annotation tool using Blazor and .NET Core, enabling efficient document management, assignment, and annotation workflows
• Integrated Azure Active Directory (Azure AD) for secure authentication, and implemented role-based dashboards for admins and annotators
• Designed and developed RESTful APIs (secured with JWT) for syncing, assigning documents, tracking statuses, and integrating with Amazon S3
• Utilized PostgreSQL to design and manage database schemas supporting user data, document metadata, annotation records, and accuracy metrics, ensuring reliable and efficient data operations.
• Implemented comprehensive unit tests using xUnit for validating service-layer business logic, ensuring system stability, and reliability

• Developed an intelligent entity extraction project using Python for various U.S. legal documents, including mortgage, deed, lien, recorded, and starter types.
• Designed and optimized prompts to extract specific entities in structured JSON format using Azure’s GPT-4o Mini model via Azure AI Studio
• Contributed to a scalable data processing pipeline using AWS services, including Lambda for serverless compute and S3 for object storage.
• Collaborated with the Annotation and Operations teams to refine prompt performance and ensure robust output reliability, achieving over 93% accuracy in entity extraction.

• Asp.Net Core 9 (.NET 9)
• Blazor Deep Dive - From beginner to advanced in .NET 8