Abdullah User

Open to opportunities

Financial Sentiment Analysis

Junior Machine Learning Engineer skilled in Python and deep learning.

ZimbabweFinancial Sentiment Analysis at Self Employed

About

I am a Junior Machine Learning Engineer with a strong foundation in Python and deep learning techniques, including natural language processing (NLP) and computer vision. My experience encompasses building, training, and deploying machine learning models, with a focus on data preprocessing, model optimization, and evaluation. I am particularly knowledgeable in transformer architectures and attention mechanisms, which I have applied in various projects. Throughout my academic journey, I have successfully implemented advanced projects such as a Reformer Transformer from scratch, achieving significant memory efficiency improvements. Additionally, I developed a financial sentiment analysis model using FinBERT, which attained an impressive accuracy of 98.9%. My commitment to continuous learning and collaborative development in AI projects drives my passion for creating innovative solutions that address real-world challenges.

Experience

Financial Sentiment Analysis
Built a real-time NLP model using FinBERT, achieving 98.9% accuracy on financial news sentiment. Created a complete ML pipeline including preprocessing, tokenization, fine-tuning, evaluation, and a REST API with Flask and Docker.
NLPFinBERTFlaskDockerREST APIsMachine Learning Pipelines
Reformer Transformer From Scratch
Implemented Reformer architecture in PyTorch with LSH attention and reversible layers for memory-efficient training on long sequences. Demonstrated advanced transformer optimization, reducing memory from quadratic to sub-quadratic complexity.
PyTorchDeep LearningNeural Networks
Intrusion Detection System
Developed an Intrusion Detection System using Random Forest and XGBoost with 95.9% accuracy. Integrated SHAP for explainability and feature importance visualization, packaging the system with FastAPI endpoints and Docker for deployment.

Education

Sylhet Science and Technology College
Pursuing a Higher Secondary Certificate in the Science Stream. This program focuses on foundational scientific principles and prepares students for advanced studies.

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About

Experience

Financial Sentiment Analysis

Built a real-time NLP model using FinBERT, achieving 98.9% accuracy on financial news sentiment. Created a complete ML pipeline including preprocessing, tokenization, fine-tuning, evaluation, and a REST API with Flask and Docker.

NLPFinBERTFlaskDockerREST APIsMachine Learning Pipelines

Reformer Transformer From Scratch

Implemented Reformer architecture in PyTorch with LSH attention and reversible layers for memory-efficient training on long sequences. Demonstrated advanced transformer optimization, reducing memory from quadratic to sub-quadratic complexity.

PyTorchDeep LearningNeural Networks

Intrusion Detection System

Developed an Intrusion Detection System using Random Forest and XGBoost with 95.9% accuracy. Integrated SHAP for explainability and feature importance visualization, packaging the system with FastAPI endpoints and Docker for deployment.

About

Experience

Financial Sentiment Analysis

Reformer Transformer From Scratch

Intrusion Detection System

Education

Sylhet Science and Technology College

About

Experience

Financial Sentiment Analysis

Reformer Transformer From Scratch

Intrusion Detection System

Education

Sylhet Science and Technology College

GPT-2 Fine-Tuning