David Rengifo
Software & AI Engineer
Professional profile
AI/Data Engineer focused on production systems: data pipelines, scalable APIs and LLM apps (RAG). Skilled in FastAPI, PostgreSQL, Redis, vector search and CI/CD. Backend-oriented with real deployment experience. Scientific background ensures strong data quality and model validation.
Work experience
Built real-time data pipelines combining API ingestion and web scraping. Designed storage and processing workflows using PostgreSQL and Redis. Developed monitoring dashboards and optimized performance with caching strategies.
Major achievementDesigned scalable real-time data pipeline architecture with optimized query performance.
Built end-to-end LLM applications using RAG architectures for semantic search and data retrieval. Designed fullstack systems including FastAPI backends and React frontends for user interaction. Implemented vector search (pgvector) and real-time APIs, deploying with Docker and CI/CD.
Major achievementDelivered production-ready AI system integrating LLMs with structured and unstructured data.
Developed embedded software for IoT railway systems using C on STM32. Designed and implemented error-handling and reliability mechanisms for low-latency communication (<3s). Contributed to backend tools and deployment workflows using Docker and CI/CD practices.
Major achievementImproved system reliability and fault tolerance in a production IoT railway environment.
Education experience
Aix-marseille university | Master
