I engineer autonomous agents, optimize complex logistics systems, and build high-performance backends.
🌐 Portfolio: deniyi.link • 🐦 Twitter • 💼 LinkedIn
I am a First Class Honours graduate in Agricultural and Environmental Engineering from OAU. I bridge the gap between heavy engineering logic and modern software architecture.
My focus is Applied AI and System Optimization. I don't just wrap APIs; I build the orchestration engines, state machines, and mathematical models that make agents reliable.
- 🔭 Currently Building: Enzo (Autonomous Professional Identity Agent) & WatchWay (Infrastructure Registry).
- 🏆 Recent Wins: Built solutions for the Google Cloud Run Hackathon and Google Chrome Built-in AI Challenge.
- 🧠 Core Interests: Multi-Agent Systems, Mixed-Integer Programming (Logistics), and Voice-Native Interfaces.
| Project | Description | Stack |
|---|---|---|
| 🤖 Enzo | Autonomous Identity Agent. Connects to engineering workstreams (GitHub) to find "wins" and autonomously networks/applies for roles. | TypeScript Agents |
| 🚜 EagleSight | Logistics Optimization Engine. Solves Vehicle Routing Problems (VRP) using mathematical modeling (Mixed-Integer Programming) to optimize fleet operations. | Python OR-Tools |
| 🎙️ Closetic | Voice-Native AI OS. An autonomous fashion assistant integrating the OpenAI Realtime API with Computer Vision and Calendar tools. | Python WebSockets |
| 🗺️ Locus | Multi-Agent Travel System. Built with Google ADK. Uses specialized sub-agents to handle routing, booking, and itinerary planning autonomously. | Python Google ADK |
| 🇳🇬 WatchWay | Crowdsourced Infrastructure Registry. Tracks the decay of federal/state infrastructure across Nigeria with geospatial data. | TypeScript Maps |
| 🧠 DoomDigest | Chrome Built-in AI Extension. Cures doomscrolling by summarizing content locally using Gemini Nano. | JavaScript Chrome AI |
📫 Contact: adeniyi.olaitanhector@yahoo.com