Shiven Pillay

I'm an AI Engineering Leader and Founder of Zephyr Global, where I architect production-grade artificial intelligence systems that deliver measurable business outcomes for enterprise, government, and industry clients. I specialize in moving AI from prototype to production—building systems that employees actually use, that reduce operational costs, and that generate tangible ROI. Over three years, I've deployed platforms processing thousands of real-world queries, integrated with existing workflows, and solving operational problems that previously required significant human resources. Every technical decision I make is driven by one question: "What actually moves the needle for this organization?" This business-first philosophy guides my work across the entire AI lifecycle, from understanding core problems to architecting solutions that balance sophistication with operational pragmatism. My technical toolkit includes large language models (Open source & Proprietary models), retrieval-augmented generation architectures, agentic AI systems, and multimodal processing. I work extensively with Python, LangChain, LlamaIndex, FastAPI, and cloud infrastructure on Azure and AWS. But the technology always serves the business objective, never the reverse. My path began with entrepreneurial ventures teaching me to create real user value. At twelve, I developed augmented reality games. At fourteen, I executed campaigns generating 2M+ impressions. By seventeen, I built Web3-integrated e-commerce platforms, anticipating trends before mainstream adoption. These experiences instilled a core principle: technology matters only when it solves real problems for real people. I hold an MBA and Master's in Big Data and Business Intelligence (Cum Laude) from Universidad Isabel I. My certifications include machine learning, data analytics, generative AI, and risk management. I'm focused on translating AI advances into business value—driving digital transformation at enterprise scale where technical leadership creates competitive advantage and intelligent systems solve historically resistant operational challenges. I'm open to AI Engineering, Consulting, and Research roles where I can leverage my experience architecting and deploying production AI systems that move beyond experimentation into operational deployment.