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Projects

Some projects I have worked on.

RAG Core

A library designed to reduce the implementation effort for Retrieval-Augmented Generation applications to a configuration file and a four main methods. Contributions are welcome!

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DocInsights platform

A platform which allows you to upload documents, and search through your library using natural language. Uses retrieval-augmented generation, LLMs, embeddings, and is deployed in Google Cloud as micro-services.

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COCO Traffic dataset

The Common Objects in Context (COCO) dataset is a popular choice to train object detectors. COCO Traffic refines and enhances the classes for traffic lights to distinguish their state.

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Driver Assistant iOS App

A real time object detection app to detect traffic signs for iOS. This end-to-end project begins with the curation of a dataset, COCO traffic, explains the model training, and deployment in an iOS app.

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Style Transfer Web App

This end-to-end project showcases how to design and tune a deep learning computer vision model to deploy it in a browser using TensorFlow JS. Since the model must run on the client side, it is quite resource constraint.

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Object Detection Basics

History of object detection models, starting from feature extractors like HOG, and detailed explanations of convolutional neural networks, metrics to evaluate them, and the YOLO, Faster-RCNN, and DETR architectures.

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Adversarial Examples

How neural networks are susceptible to small, imperceptible changes called adversarial attacks, and what this means for safety and the learned representations. Includes implementations of common attacks.

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