Location: Lisbon, Portugal
Remote: Yes — Europe or international
Willing to relocate: Yes, for the right opportunity
Technologies: Python, FastAPI, PostgreSQL, SQLite, Docker, Git, LangChain, OpenAI APIs, LLM agents, prompt engineering, SQL, Power BI
Résumé/CV: Available on request
LinkedIn: https://www.linkedin.com/in/alex-ramazanovich-7b403463
GitHub: https://github.com/Alroma79
Email: ramazanovich.alex@gmail.com
Applied AI builder and recent NOVA IMS graduate in Business Intelligence and Applied AI. I build and deploy practical LLM-powered applications, with a focus on agentic workflows, backend systems, structured feedback, and data logging.
Recent work:
* Built and deployed a multi-agent AI Tutor tested with 30+ university students
* Developed a FastAPI-based Data Flywheel Chatbot with feedback logging and dynamic model configuration
* Built a startup evaluation tool with structured scoring and API-driven workflows
* Currently developing a live interpreter teleprompter prototype for real-time speech workflows
Previously worked for 9 years in international logistics and operations. Interested in Applied AI Engineer, LLM Application Engineer, AI Automation, AI Product Engineer, and early-stage startup roles.
Applied AI builder and recent NOVA IMS graduate in Business Intelligence and Applied AI. I build and deploy practical LLM-powered applications, with a focus on agentic workflows, backend systems, structured feedback, and data logging.
Recent work:
* Built and deployed a multi-agent AI Tutor tested with 30+ university students * Developed a FastAPI-based Data Flywheel Chatbot with feedback logging and dynamic model configuration * Built a startup evaluation tool with structured scoring and API-driven workflows * Currently developing a live interpreter teleprompter prototype for real-time speech workflows
Previously worked for 9 years in international logistics and operations. Interested in Applied AI Engineer, LLM Application Engineer, AI Automation, AI Product Engineer, and early-stage startup roles.