My name is Chukwunonso Ikeji. I’m a software engineer and AI systems builder with a background that spans healthcare, full-stack engineering, blockchain, and modern AI infrastructure.

I originally trained in pharmacology and pharmacy, and I’ve worked in real clinical and community pharmacy environments. That experience shaped how I think: I’m very comfortable with responsibility, regulated systems, and building things that actually need to work in the real world. While I’ve moved deep into tech, I haven’t completely left pharmacy — it’s still part of how I see problems and people.

I later transitioned into software engineering, starting with full-stack Web2 development, then moving into Web3 and protocol-level engineering. Over time, I’ve worked as a full-stack blockchain developer and frontend/Web3 lead, building production systems that include smart contracts, token economies, cross-chain payments, NFT infrastructure, and user-facing products. I care a lot about clean architecture, good documentation, and systems that scale without becoming fragile.

More recently, my focus has shifted strongly into AI engineering, agentic engineering, and MLOps. I don’t work on traditional machine learning or model training — instead, I specialize in building AI-powered systems: integrating models, designing agent workflows, orchestrating tools, deploying AI services, and making sure they run reliably in production. I’m especially interested in autonomous agents, AI infrastructure, and full-stack GenAI products, where AI isn’t just a feature but a core part of the system.

I enjoy working at the intersection of product, engineering, and infrastructure. I like understanding the full picture — from user experience, to backend logic, to smart contracts or AI services — and then connecting everything into something coherent and useful. Hackathons, early-stage products, and complex systems are where I do my best work.

Professionally, I often go by Codypharm, a name that reflects the mix of healthcare roots and engineering work that defines my path.

At my core, I’m someone who likes building useful, intelligent systems, learning fast, and pushing into areas where software, AI, and real-world impact meet.