Full-stack software engineer with experience building and integrating mobile (Swift), backend (C#), and embedded systems (Arduino, ESP32). I bridge low-level C/C++ libraries with high-level platforms and design modular, cross-platform solutions. Currently expanding expertise in AI/ML applications through hands-on personal projects, with a focus on Retrieval-Augmented Generation (RAG), prompt engineering, and LLM integration. Skilled in agile development using Git, Jira, Confluence, and Trello. Driven to deliver robust, future-ready software by combining deep technical rigour with proactive innovation.
A RAG-powered AI assistant that delivers accurate, context-aware responses by combining large language models (LLMs) with curated knowledge retrieval.
Generate compelling titles, descriptions, feedback, and visuals for your articles — all with AI.