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Hi there! 👋

I'm Tobi Oyekanmi, an AI Engineer and incoming PhD student in Computer Science focused on building intelligent systems powered by Large Language Models, NLP, and agentic AI architectures.

I enjoy building:

  • Agentic AI systems
  • LLM-powered developer tools
  • RAG pipelines
  • AI infrastructure & inference systems
  • Full-stack AI applications

About Me

  • 🎓 Incoming PhD Student in Computer Science
  • 🤖 Interested in Agentic AI, NLP, and Reasoning Systems
  • 🧠 Research interests: AI Systems, Program Analysis, Human-AI Interaction
  • 🔬 Currently building AI debugging and orchestration systems
  • 🌎 Based in the United States

Skills

Artificial Intelligence & Machine Learning

PyTorch Hugging Face OpenAI LangChain Transformers


Programming Languages

Python TypeScript JavaScript C


Front-End Technologies

React Next.js TailwindCSS


Back-End & APIs

Flask FastAPI REST API


AI Infrastructure & Tools

Docker GitHub Actions Linux Git


Featured Projects

🤖 Agentic Debugger

Multi-agent AI debugging system capable of analyzing Python tracebacks, identifying root causes, and generating patches using LLM orchestration.

🎵 Musicnalyzer

AI-powered music analysis platform supporting:

  • source separation
  • BPM/key detection
  • lyrics extraction
  • music transformation

⚡ LLM Inference Benchmark

Framework for benchmarking open-source LLM inference performance, memory efficiency, and optimization strategies.

🧠 Autonomous ML Agent

Experimental agentic machine learning workflow system for autonomous orchestration and decision-making.


Current Focus

  • Multi-agent orchestration systems
  • LLM reasoning workflows
  • AI-powered developer tools
  • High-performance inference optimization
  • AI systems research

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