Applied AI engineer with production backend: RAG, agents, and automation with real metrics.
- −35%infra cost
- +20ppvalidation
- 8–10h/config
- Developed APIs and services in Python/FastAPI for data processing and system integration.
- Built ingestion and processing pipelines (documents, video) including transcription and validations.
- Implemented AI capabilities with LLMs: RAG, embeddings, and vector search integrated into production middleware.
- Evolution of AI assistants: managing memory/sessions, stability improvements, and post-deployment fine-tuning.