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Posts
AI Companion 2.0 Zoom Platform Oriented with Artificial Intelligence
Published:
I had the incredible opportunity to attend a Tech Talk on the topic AI Companion 2.0 Zoom Platform Oriented with Artificial Intelligence. The session was graced by Dr. Xuedong Huang, Chief Technology Officer of Zoom (USA)
Reflecting on ATC 2024 - Pushing the Boundaries of Communication Technologies
Published:
I recently had the privilege of attending the 2024 International Conference on Advanced Technologies for Communications (ATC 2024), which took place in Ho Chi Minh City, Vietnam, from October 17-19
portfolio
Government of Tanzania Health Management Information System (GOT-HOMIS)
The Government of Tanzania Health Management Information System (GOT-HOMIS) is a centralized health data management system designed to streamline healthcare services across Tanzania
Zanzibar Electronic Medical Record System (ZEMR)
The Zanzibar Electronic Medical Record (ZEMR) system is a centralized EMR platform designed to enhance patient data management across Zanzibar’s health facilities. 
Facility Financial Account and Reporting System (FFARS)
The Facility Financial Account and Reporting System (FFARS) is a comprehensive financial management system designed to enhance the accuracy, accessibility, and transparency of financial operations in local government authorities (LGAs) across Tanzania. 
publications
Setting Up a 2-Node Hadoop Cluster and Kafka for Distributed Data Collection and Web Log Analysis
Published in PTIT, 2024
This report outlines the steps to set up a 2-node Hadoop cluster and Kafka for collecting distributed data from multiple nodes, such as web logs.
Recommended citation:
Download Paper | Download Slides
talks
International Conference on Advanced Technologies for Communications (ATC 2024)
Published:
The International Conference on Advanced Technologies for Communications (ATC 2024), held in Ho Chi Minh City, Vietnam, from October 17-19, 2024, provided an international forum for researchers, scientists, and technologists to exchange knowledge and present cutting-edge research in the field of communication technologies. The conference brought together participants from around the world, emphasizing collaboration, innovation, and the future of communication systems.
teaching
Introduction to HuggingFace’s Transformers
Natural Language Processing, PTIT , Department of Computer Science, 2024
This guide provides a step-by-step explanation of how to perform sentiment analysis using HuggingFace’s Transformers library. It begins with preprocessing, where raw text is tokenized into numerical input for the model
How to create and use Transformer models with HuggingFace’s AutoModel
Natural Language Processing, PTIT , Department of Computer Science, 2024
This section explains how to create and use Transformer models with HuggingFace’s AutoModel and other related classes. The AutoModel class is a convenient wrapper that can automatically determine and load the appropriate model architecture based on a checkpoint
Q-Learning Algorithm for the FrozenLake Environment
Reinforcement Learning, PTIT , Department of Computer Science, 2024
In this implementation, Q-learning is applied to solve the FrozenLake-v1 environment from the Gymnasium library. FrozenLake is a grid-based environment where the agent must learn to navigate from the start to the goal while avoiding holes in the ice
Sentiment Analysis with Hugging Face Transformers
Sentimental Analysis, PTIT , Department of Computer Science, 2024
This code demonstrates the usage of Hugging Face Transformers for natural language processing tasks, including tokenization, model loading, fine-tuning, and model evaluation. The code covers the complete flow from data preprocessing to training and prediction
Image Classification with Convolutional Neural Networks on the CIFAR-10 Dataset
Convolutional Neural Network, PTIT , Department of Computer Science, 2024
This code demonstrates building a Convolutional Neural Network (CNN) using various types of layers to classify images in the CIFAR-10 dataset. Each type of layer serves a specific purpose in enhancing the model’s ability to capture and process complex features effectively, enabling it to classify CIFAR-10 images with improved performance
Fine-Tuning BERT for Sentiment Analysis on Airline Twitter Data Using PyTorch and Transformers
Natural Language Processing, PTIT , Department of Computer Science, 2024
This code fine-tunes a BERT model for sentiment analysis on airline Twitter data. It loads and preprocesses the data, encoding sentiment labels and tokenizing text with the BERT tokenizer. After splitting the data into training and validation sets, a custom PyTorch dataset is created to support batching.
Dynamic Symbolic Execution (DSE) and Malware Analysis in Java Microservices
Malware - ML, PTIT , Department of Computer Science, 2024
Dynamic Symbolic Execution (DSE) is a powerful program analysis technique that combines concrete execution with symbolic analysis to explore program paths comprehensively. This course provides an in-depth understanding of DSE, its integration with Control Flow Graphs (CFGs), and its applications in malware analysis and microservice applications.
Understanding AI Agents (Code Agents) - Huggingface Course
Natural Language Processing, PTIT , Department of Computer Science, 2025
Code agents are a type of AI agent that generate and execute Python code to perform actions. Instead of relying on structured JSON outputs or predefined workflows, code agents allow Large Language Models (LLMs) to dynamically write, execute, and refine code as part of their decision-making process