👋 Hi, I'm
Yasmeen Azmat Ali
AI / ML Engineer
Building intelligent systems using Machine Learning, Deep Learning, NLP, Cloud Computing and Real-Time AI pipelines.
About Me
I am an AI / ML Engineer passionate about building intelligent systems that solve real-world problems using Machine Learning, Deep Learning, Natural Language Processing and Cloud technologies.
I completed my MSc in Artificial Intelligence with First Class Distinction, where I developed a real-time sentiment analysis platform using Apache Kafka, Apache Spark, Transformer models and cloud-based technologies.
My interests include AI applications, Large Language Models, NLP systems, data-driven solutions and scalable intelligent software engineering.
MSc Artificial Intelligence
First Class Distinction with a focus on Machine Learning, Deep Learning and intelligent systems.
AI & Machine Learning
Experienced in developing ML models, NLP solutions, LLM applications and predictive AI systems.
Real-Time AI Pipelines
Built scalable AI pipelines using Apache Kafka, Spark, cloud services and real-time data processing.
Software Development
Developing intelligent applications using Python, Django, Android and modern technologies.
Featured Projects
Real-Time Twitter Sentiment Analysis
MSc Dissertation | First Class Distinction
End-to-end AI pipeline processing 2.39M+ tweets using Kafka, Spark, BERTweet, XLM-RoBERTa and AWS cloud services.
AI Interview Practice Bot
AI Application
AI-powered interview assistant providing personalised interview questions, feedback and preparation guidance.
Spam Email Classification
Machine Learning Project
NLP-based spam detection system that classifies emails using machine learning algorithms and text processing techniques.
Climate Weather Dashboard
Data Visualization Project
Interactive weather dashboard using APIs, data processing and visual analytics for real-time weather insights.
Quiz Master
Android Application
Modern quiz application built with Kotlin and Jetpack Compose featuring interactive user experience.
Mood Journal
Android Application
Personal mood tracking application built with modern Android development practices.
Responsible AI: Fairness, Interpretability & Privacy
MSc Coursework
Analyzed fairness/bias in income prediction using Census Income data, model interpretability with SHAP on healthcare risk prediction, and privacy-preserving ML practices across Amazon, LinkedIn, Google, and Facebook.
Titanic Survival Prediction
Group ML Project
Full ML lifecycle project applying EDA, feature engineering, and model comparison to predict Titanic passenger survival. Best result: 88.64% accuracy using Random Forest with top features.
Technical Skills
Machine Learning
Deep Learning & NLP
Big Data & Cloud
Programming & Development
Resume
MSc Artificial Intelligence
University of West London
First Class Distinction
Specialised in Machine Learning, Deep Learning, Natural Language Processing, Big Data technologies and Cloud-based AI systems.
MSc Dissertation
Cloud-Based Real-Time Sentiment Trend Prediction on Twitter Using Apache Kafka and Apache Spark.
Built an end-to-end AI pipeline using streaming data, transformer models, Spark processing and cloud technologies.
Career Focus
AI / ML Engineer focused on developing intelligent applications, NLP solutions, LLM-based systems and scalable AI pipelines.