As a seasoned Python Developer and AI Engineer with over five years of professional experience, I specialize in architecting high-performance systems that turn complex data into strategic business assets. My expertise is centered on the intersection of Generative AI and robust backend engineering, where I build production-ready applications designed for both scale and precision. I am particularly skilled in developing advanced Retrieval-Augmented Generation (RAG) pipelines that efficiently handle massive datasets, including projects exceeding 10,000 documents, ensuring that your organization can extract accurate and relevant insights from its entire knowledge base.
By leveraging frameworks like LangChain and FastAPI, I create autonomous AI agents and sophisticated APIs that serve as the backbone of modern digital solutions. My approach to development is deeply rooted in data integrity and performance, utilizing a diverse database stack that includes PostgreSQL, SQLAlchemy, and AWS Timestream for specialized time-series analytics. Furthermore, with a three-year background in Grafana, I provide the essential bridge between backend complexity and stakeholder clarity by delivering real-time, deep-dive dashboards that track vital business KPIs and system health.
Every project I undertake is grounded in a DevOps-first mindset within the AWS ecosystem, ensuring that your infrastructure is secure, auto-scaling, and maintainable for the long term. My goal is to translate your technical requirements into clean, modular code that drives tangible business value, whether you are looking to automate intricate research tasks or deploy a full-scale data platform from the ground up.