Artificial Intelligence
Current Challenges
Artificial intelligence adoption faces challenges around data quality, model interpretability, ethical governance, and talent scarcity. Organizations must navigate the gap between AI hype and practical deployment while managing bias and regulatory uncertainty.
Project History
Production systems delivered across healthcare, climate, government, streaming, finance, and enterprise.
Automated Compliance Document Generation
End-to-end AI pipeline auto-generating EU regulatory compliance documents for a safety consultancy. Multi-modal AI integration improved client efficiency by 80% through automated compliance workflows. RAG, vector-space search, multi-modal LLM and data embedding.
AI Video Generation Platform
Led development of Tovid.ai, an AI-powered product video commercials platform. Full project leadership combining AI tools with modern frontend engineering and scalable backend architecture.
Enterprise Platform Modernization (6+ Systems)
Fixed and modernized 6+ internal enterprise platforms using Agile methodologies. Migrated legacy JS libraries (vanilla JS, jQuery, Mustache, Handlebars) to modern frameworks (Vue.js). Large-scale corporate platform engineering.
Semantic Classification & Logo Similarity
Production-ready NLP classifier mapping 9,494 companies to 221-label insurance taxonomy (2.43x confidence improvement, <1ms inference). Logo extraction and grouping across 3,416 websites (97.28% extraction, ~98% precision) using Union-Find + LSH.