MSc Advanced Mechanical Engineering at Imperial College London
I build systems at the intersection of robotics, mechanical design, intelligent control and experimental engineering.
- 🎓 MSc Advanced Mechanical Engineering at Imperial College London
- 🤖 Interested in robotics, reinforcement learning and autonomous systems
- ⚙️ Experienced in mechanical design, FEA, control and mechatronics
- 🔬 Currently developing an optothermal compliant ratchet microactuator
- 📍 Based in London, UK
A reinforcement-learning controller for robust Cartesian tracking of a moving target using a Franka Panda robot in MuJoCo.
The project includes:
- Soft Actor-Critic reinforcement learning
- Time-varying end-effector tracking
- External disturbances and observation noise
- Motion-smoothness and control-effort evaluation
- Training and performance visualisation
Python MuJoCo Gymnasium Stable-Baselines3 Reinforcement Learning
Repository and results coming soon.
My MSc research project investigates a microscale compliant ratchet that accumulates the displacement generated by optothermal microactuators.
My work combines:
- Multiphysics finite-element modelling
- Compliant-mechanism design
- Microfabrication
- Computer-vision displacement tracking
- Force–displacement characterisation
- Experimental validation
COMSOL SolidWorks Python Computer Vision Microfabrication
Exploratory data analysis and machine-learning modelling of healthy-diet costs across countries and regions between 2017 and 2024.
Python pandas scikit-learn Jupyter Data Visualisation
Robotics and control
MuJoCo Reinforcement Learning Trajectory Planning MATLAB
Classical Control Digital Control Arduino
Mechanical engineering
SolidWorks COMSOL FEA GD&T Design for Manufacture
Compliant Mechanisms Experimental Characterisation
Programming and data
Python NumPy pandas Matplotlib scikit-learn
Git Jupyter Notebook
I am currently strengthening my portfolio in:
- Robot learning and intelligent control
- Simulation-to-real robotics workflows
- Sensor integration and experimental robotics
- Machine-learning fundamentals
- Reproducible engineering software