Results-driven Backend & Integration Engineer with 6 years of experience in developing and optimizing scalable backend systems and APIs. Demonstrated expertise in data pipeline design and real-time integrations, utilizing WebMethods, JDBC, SQL, and REST interfaces. Strong foundation in Automation & Robotics, complemented by training in Generative AI Prompt Engineering. Committed to creating high-integrity systems that effectively bridge hardware and software, while also driving internal initiatives and methodologies.
Strong passion for exploring and adopting emerging technologies, particularly in the field of artificial intelligence. Recently worked on a Proof of Concept (PoC) involving Retrieval-Augmented Generation (RAG) using Generative AI, integrating vector databases and large language models (LLMs) to enable context-aware, intelligent responses. The project included data preprocessing, embedding generation, vector storage/retrieval, and RAG pipeline implementation—showcasing a practical understanding of modern AI workflows and infrastructure.