I’ve always been fascinated by how data can be transformed into insightful, tangible outcomes. My journey began with a strong interest in applied mathematics and computer science, which naturally led me into the world of Machine Learning and NLP. Over the last few years, I’ve specialized in building end-to-end AI pipelines—everything from classic ML forecasting systems to state-of-the-art retrieval-augmented generation (RAG) solutions and large language model (LLM) deployments.
What makes me great is my blend of deep technical expertise and strong communication skills. On the technical side, I’ve led teams to develop cutting-edge NLP solutions—fine-tuning GPT-like and BERT-like models, integrating multi-modal data sources, and deploying these systems in production environments. At the same time, I enjoy working directly with clients, aligning technical goals with business needs, and mentoring team members to help them grow. Whether it’s delivering enterprise-level solutions for airlines or government projects, I thrive on tackling complex challenges, testing new hypotheses, and seeing AI innovations make a real difference in practice.