Data Science Consultant

Agentic AI & Business Automation

Most organizations currently use Generative AI as a passive knowledge base—a smarter search engine. My current R&D focuses on the next evolution: Agentic AI.

This moves the technology from "Question & Answer" to "Reason & Act."

I am building architectures where AI agents function as autonomous teammates capable of executing multi-step business workflows. Instead of just summarizing a report, these agents can be orchestrated to query a database, analyze the trends, generate the report, and email it to stakeholders—all while adhering to strict governance protocols.

Why This Matters for Enterprise

The value of AI isn't just in generating text. It's in reducing the friction of daily operations.

• Orchestration over Generation: Using LLMs not just to write code, but to decide which tools to use to solve a problem.

• Human-in-the-Loop Governance: Designing systems where agents handle the repetitive "grunt work" of data gathering and synthesis, pausing only for human review at critical decision points.

• Scalable Decision Making: Enabling consistent, logic-driven workflows that can operate 24/7 without fatigue.

Current Exploration

I am actively prototyping "Digital Workers" that integrate with enterprise APIs to automate complex, low-level tasks, freeing up human capital for high-level strategy. This represents the intersection of my background in statistical rigor and software engineering—ensuring these agents are not just smart, but reliable and safe.

Contact

Get in touch to discuss your journey.