Machine Learning & Optimization
A Bayesian Optimization Framework for Handling Computationally Expensive and Potentially Uncomputable Objective Functions.
Computer Vision & Deep Learning | Object Detection
A novel deep-learning framework for enhancing object detection under poor visibility conditions, inspired by human visual cortex mechanisms and atmospheric scattering models.
January 2025
Started as MLE Intern, focusing on autonomous driving software stack and multimodal sensor fusion.
Read more →Published on Medium
Exploring the complexities and challenges in multi-modal image fusion, discussing why this seemingly straightforward task requires careful consideration and advanced techniques.
Read on Medium →Published on Medium
A deep dive into the world of tokenizers, exploring their importance in natural language processing and how they shape the way machines understand human language.
Read on Medium →Published on Medium
Understanding how Principal Component Analysis (PCA) can be applied to image recognition tasks, exploring dimensionality reduction and feature extraction techniques.
Read on Medium →Feel free to connect for collaborations or opportunities.
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