Rameez hassan

I’m a Senior Machine Learning Engineer with 9+ years building and deploying scalable ML solutions across industries. I focus on delivering production-ready AI that improves accuracy, reliability, and real business outcomes. My work spans deep learning, predictive modeling, computer vision, and NLP.

At Cybernef Technologies, I design, train, and deploy models for computer vision and NLP, optimizing performance for production systems. I develop deep learning models with TensorFlow and PyTorch, build scalable training/evaluation/inference data pipelines, and improve accuracy using preprocessing, feature engineering, and augmentation. I also deploy and manage models using FastAPI, Docker, CI/CD, and cloud environments on AWS and GCP—while using Redis, Celery, Neo4j, and CVXPY to build low-latency and optimization-driven AI workflows.

Previously at NETSOL Technologies Inc, I built production-ready machine learning and deep learning solutions, including FastAPI endpoints for real-time inference and containerized deployments with Docker and Kubernetes on AWS/GCP. At ArhamSoft, I built and maintained REST APIs, ETL/data pipelines, and performance improvements using Redis and Celery. Across projects like explainable credit scoring and risk evaluation, I’ve used SHAP/LIME for explainability and CVXPY for optimization—reducing default rates, improving forecasting accuracy, and lowering inference latency.