AI&ML Consultant

Defined the strategic vision for Content Intelligence platforms, leveraging Machine Learning (ML) and NLP (named entity recognition, classification) to drive topic modeling and taxonomy learning; implemented embeddings and vector representations to enable high-performance recommendation engines. Directed the design of metadata pipelines and ontology models to support content and identifier strategies (UUIDs) to ensure backward compatibility and robust entity resolution graph. Optimized search quality through rigorous search relevance tuning using ranking algorithms (BM25, learning-to-rank) and query understanding (synonyms, intent); managed indexing strategies on Elasticsearch/OpenSearch, using search analytics (CTR, zero-results rate) and A/B testing to drive UX improvements.

Founder Lee-AI Inc. to create a personalised AI avatar that delivers empathetic, real-time mental-health support through computer-vision and advanced language-model technology. Architected full ML pipeline from data ingestion and computer vision preprocessing to training and deployment, leveraging Reinforcement Learning from (RLHF) for conversational tone and (RAG) for evidence-based responses.

Authored BMW’s internal AI/ML infrastructure guidelines, now referenced by five product lines for architecture and security best practices. Collaborated with data-privacy and security teams to roll out a UI Design-compliant anonymisation framework for driver and vehicle data. Mentored junior engineers and interns, establishing a skills-upskilling program in big-data engineering.