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💯
on a research spree
💯
on a research spree
53 followers · 49 following

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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iitimii/README.md

Hi, I'm Timi! 👋

Typing SVG

About Me

Hi, I'm Timi. I build production-grade AI systems with LangGraph, DeepAgents, PyTorch, AWS, MLflow, and LangSmith. I've shipped end-to-end ML pipelines and agentic systems at scale, from customer-facing applications to business operations optimization. My background is research-focused in reinforcement learning, so I'm applying that to production by developing self-improving AI agents (software and robots) that learn and get better over time without human intervention.

I'm currently splitting my time between building AI systems, conducting research in reinforcement learning and robotics, and mentoring the next generation of African researchers.

Tech Stack

AI/ML Frameworks: PyTorch TensorFlow JAX Hugging Face

Agent Frameworks: LangChain LangGraph

MLOps & Cloud: AWS Docker MLflow Git

Robotics & Simulation: ROS2 MuJoCo

Languages: Python C++ MATLAB

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  1. Autonomous-Delivery-Drone Autonomous-Delivery-Drone Public

    Autonomous Delivery Drone (In Progress): Developing altitude and location control, auto takeoff and landing, obstacle avoidance, and reinforcement learning for advanced autonomous capabilities.

    C++ 8 1

  2. Coordinated-Control-of-Multi-Quadrotor-Swarms Coordinated-Control-of-Multi-Quadrotor-Swarms Public

    Adaptive, optimal, and learning-based control for quadrotor swarms using gym-pybullet-drones.

    Jupyter Notebook 14 1

  3. robot_arm robot_arm Public

    A robotic arm that learns to pick and place objects using reinforcement learning.

    Python 22 8

  4. Affordable-3D-Printed-Manipulator Affordable-3D-Printed-Manipulator Public

    Affordable 3D-Printed Manipulator with Comparable Performance to WidowX 250 S

    C++ 1

  5. Brute-Force-Optimization-for-Neural-Networks Brute-Force-Optimization-for-Neural-Networks Public

    Exploring non-gradient-based learning techniques for training neural networks, using brute force parameter search and optimization methods. Includes comparison with gradient-based learning.

    Jupyter Notebook 4

  6. REINFORCE REINFORCE Public

    An Implementation of the REINFORCE Algorithm for Solving OpenAI Gymnasium Environments

    Python 3