Open to opportunities

Abrar Hussain

@abrarhussain4

Message

I build production ML and Generative AI systems for fraud intelligence, enterprise automation, and knowledge retrieval.

United States

Message

What I'm looking for

I'm looking to build and deploy scalable ML and Generative AI products that improve risk intelligence, enterprise automation, and data-driven decision-making.

At Mastercard, I engineer production machine learning systems for real-time transaction risk intelligence, improving fraud detection performance by 18% and reducing manual fraud investigation effort by 35%.

I build scalable pipelines processing 10M+ monthly transaction events and manage the full ML lifecycle—from feature engineering and training through deployment, monitoring, explainability, and responsible AI practices—using AWS SageMaker, MLflow, Docker, Kubernetes, PySpark, and Python.

Previously at Alpha Bytes Software House, I delivered NLP, Generative AI, and document-intelligence applications using Transformers, RAG, LangChain, embeddings, FAISS, and LoRA. I also built enterprise knowledge retrieval systems and reusable ML pipelines that improved knowledge discovery efficiency and shortened development cycles.

Experience

Work history, roles, and key accomplishments

Current

AI-ML Engineer

Current

Mastercard

Sep 2024 - Present (1 year 11 months)

Engineered production-grade machine learning solutions for real-time transaction risk intelligence, improving fraud detection performance by 18% through advanced feature engineering and ensemble modeling. Designed scalable ML data pipelines processing 10M+ monthly transaction events and architected end-to-end ML workflows using AWS SageMaker, MLflow, Docker, and Kubernetes.

Python PySpark SQL XGBoost LightGBM Neural Networks AWS Sagemaker MLFlow Docker Kubernetes CI CD Feature Engineering Model Evaluation SHAP REST APIs

Data Scientist – Machine Learning

Alpha Bytes Software House

Jun 2020 - Jul 2023 (3 years 1 month)

Designed and deployed machine learning solutions using Python, PyTorch, TensorFlow, Scikit-learn, and XGBoost for predictive analytics and intelligent automation, improving model performance by 20%. Developed enterprise NLP and Generative AI applications using Transformer architectures, Hugging Face models, LangChain, embeddings, and RAG workflows.