Data & AI Leader | Generative AI Architect | Innovation Catalyst
AI/ML leader with 22+ years from automotive manufacturing to enterprise GenAI. Building production multi-agent systems, semantic search engines, and RAG architectures at scale. Track record of award-winning solutions across manufacturing, aerospace, telecom, and BFSI with measurable business impact. Systems thinker bridging strategy, architecture, and delivery.
I work in Data and AI at Korn Ferry Digital, where I lead teams developing generative AI applications for talent intelligence and HR technology. My focus areas include LLM applications, RAG architectures, and ML platform engineering.
My background combines manufacturing engineering with data science, spanning automotive, aerospace, energy, and telecommunications sectors. I've worked on problems ranging from quality control optimization to building semantic search engines and implementing MLOps practices at scale.
Outside of work, I explore theoretical aspects of AI through research projects on chaos theory in LLM conversations, topological data analysis of neural networks, and multi-agent system dynamics. I maintain several open-source projects that investigate these concepts and provide practical tools for the community.
Architecting enterprise-scale GenAI applications, from agentic systems to RAG architectures. Expert in prompt engineering, fine-tuning, and deploying production LLM solutions.
Building robust ML pipelines and platforms that scale. Implementing best practices in model versioning, monitoring, and deployment across cloud environments.
Designing and optimizing large-scale data lakes and warehouses. Expert in real-time processing, event-driven architectures, and cost optimization strategies.
Translating business vision into AI reality. Leading cross-functional teams, driving innovation workshops, and building AI-first organizational cultures.
Investigating chaos theory in LLM conversations, topological analysis of neural networks, and emergent behaviors in multi-agent systems. Published findings on Lyapunov exponents in text-based agent interactions.
Building production ML systems including semantic search engines, RAG implementations, and MLOps pipelines. Experience with Databricks, Elasticsearch, and various LLM frameworks in enterprise settings.
Maintaining 30+ repositories exploring AI concepts. Projects include local RAG systems, chaos theory visualizations, and experimental frameworks for multi-agent collaboration.
Aircraft wing shape optimization using evolutionary algorithms.
Multi-agent framework for LLM collaboration - simple agents, powerful results.
Feel free to reach out for discussions about AI research, technical collaborations, or questions about any of my projects.