Armen Balyan

• Leading efforts to integrate AI and LLMs into data cleaning and analysis pipelines. • Comparing performance and accuracy of various LLM models for specific use cases and experiments. • Using Python libraries such as spaCy for entity extraction and record linkage tasks. • Embedding Python-based data processing modules into the existing C#/.NET pipeline. • Developing and orchestrating workflows in Azure Machine Learning Studio for scalable model training and deployment.

• Designing and implementing a queuing system. • Migrating from a monolithic to a modular microservices architecture. • Updating infrastructure to incorporate workflows using Workflow Core library. • Implementing AI integration and managing Azure DevOps Application Insights. • Developing dynamic filters with React Awesome Query Builder. • Creating and optimizing stored procedures for the reporting system. • Writing and reviewing code, and developing unit and integration tests.

Working on Siemplify (Now Part of Google Cloud) platform. • Development and support of a large, cloud based, scalable project with microservices architecture • Participation in project architecture and database designing process • Participation in implementation of multi-tenant support • Load testing infrastructure creation • Performance problems detection and elimination