Dragos Andrei Vasile

Developed backend and platform features for a residue prediction model, focusing on Python services, workflow automation, and exposing results through APIs and UI. Built and maintained a Dash-based interface for interacting with prediction outputs, inspecting prediction data, and managing workflows. Implemented new FastAPI features to deliver production-ready endpoints with model results, metadata, and processed data. Designed and automated AWS ETL and retraining pipelines to improve reliability and reduce manual operations, while refactoring workflows and integrating AI-powered automatic documentation.

Delivered a government-grade digital platform by building secure backend services and React interfaces for document processing workflows. Implemented backend services using Node.js and FastAPI to support automated document workflows and data processing pipelines. Built React frontend applications for document management, workflow automation, and real-time data visualization. Integrated AI solutions including LLM-based document generation and OCR pipelines for structured data extraction, and deployed production-ready services on AWS using Docker and CI/CD to ensure scalability and maintainability.

Designed and deployed microservices architectures for enterprise-scale applications on AWS, supporting scalable production workloads. Built high-performance REST and GraphQL APIs with an emphasis on low latency, reliability, and maintainability. Developed modern frontend applications with React and Next.js, focusing on performance optimization and reusable architecture. Delivered end-to-end features using CI/CD, Docker, and Terraform, and led a team of 4 engineers as Team Lead for an AI-based platform. Integrated AI/LLM features and automation workflows, along with secure authentication using OAuth2, JWT, and AWS Cognito.