Agentic AI

Building Smarter Teams, One Agent at a Time

I specialize in designing and deploying autonomous agent ecosystems that turn complex workflows into seamless, self‑organizing teams. Using IBM watsonx Orchestrate, I assembled a sandbox crew of business analysts who collaborate in real‑time to surface users stories, automate the identification of process requirements, and accelerate decision-making.

What makes me excited about this project: high degree of specialization, modularity, possibility to scale in tasks, smaller models for each specialized agents, ReAcT capabiliites, orchestration by design.

At the same time, I explored the Google SDK for Agent Building and crafted a sandbox project—a virtual podcast crew that researches, scripts, and narrates fintech news on‑the‑fly. The agents coordinate research, fact‑checking, and voice synthesis, delivering a polished, up‑to‑date podcast episode without human intervention.

What I learned from this project: each agent is supported by a different foundation model like LLM for text creation, multi-modal models for information parsing (including imaging and IDP capabilities), and text-to-speech, each packed in diffrent agents as modular components.

Together, these experiences showcase my ability to:

• Design modular agent architectures that integrate with existing data and NLP pipelines.
• Orchestrate multi‑agent collaboration through clear role‑based interactions.

[NOTE!] My next chapter here in this area is AgentOps.

Do you want to co-develop with me? Just reach out.