MSc dissertation literature review focused on quantifying uncertainty in machine vision-based landmine detection models
This project focuses on analyzing and modeling human activity data collected from wearable sensors.
Designed and trained a RL agent to drive around a custom track with checkpoint rewards
Critical evaluation of a study applying reinforcement learning to the domain of wildfire movement prediction
Developed innovative solutions to optimize IT operations and enhance team productivity.
Chatbot Prototype
License Automation
Documentation
Guided students through complex algorithms and coding challenges to foster academic success.
Algorithms
Code Review
University College London
2024 - 2025
Dissertation: Bayesian Uncertainty Models for Occluded Landmine Detection
Loyola Marymount University
2020 - 2024
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