Software Engineer
Mercor
San Francisco, California, United States · Remote

I am an AI engineer and software engineer remotely working across Canada. I make useful applications for the web, agentic LLM systems, automation, and interfaces people actually use. In my spare time, I enjoy building, reading, and shipping experiments.
Get in touchExperience
A selection of teams, products, and systems I have helped move forward from production software to intelligent, agentic experiences.
Mercor
San Francisco, California, United States · Remote
Oludaye
· Contract Full-timeRemote
Projects
I turn research ideas into systems that actually run in production.
My work spans agentic LLM pipelines with LangGraph and persistent memory, distributed scraping systems using Playwright and Crawlee, and AI meeting workflows powered by Whisper and semantic processing. I care about modular architecture, reliable APIs, and interfaces people want to use.
The same curiosity that drives a new experiment is the one I bring to every blank codebase.
What I do
I work with startups and product teams turning ambitious AI ideas into reliable, useful software.
Design and ship LLM agents with tool-calling, memory, and structured outputs that hold up outside a demo.
Build multi-channel outreach, enrichment, and workflow systems that qualify and engage leads automatically.
Move research ideas into APIs and jobs with reliable JSON, retries, evaluation, and clean interfaces.
Collect and structure web data with Playwright and Crawlee so models and products have something real to work with.
Pair the backend with frontend experiences people actually use, from internal tools to customer-facing apps.
Writing
Practical ideas about AI agents, production systems, data, and the craft of building dependable software.
How LangGraph, tool-calling, and persistent memory turn experimental prompts into reliable agent workflows that can run unattended.
A practical look at storing, retrieving, and bounding agent memory so systems stay useful without drifting or leaking context.
Designing scalable extraction pipelines that collect clean, structured data for enrichment, scoring, and downstream LLM tasks.
Contact
Tell me what you are building, where you are stuck, or what you want to explore. This could be the start of something great.
Let's talk