Sameer Ahmad

I am a Machine Learning & MLOps Engineer focused on designing and deploying scalable, production-grade ML systems that solve real-world problems. I combine cloud-native tools, real-time data pipelines, and strong engineering practices to deliver reliable models in production.

I have built and shipped multiple end-to-end ML systems—both batch and real-time—using AWS, Kafka, Docker, and Kubernetes, and I routinely apply CI/CD for ML with GitHub Actions, Airflow, and MLflow. My projects include demand forecasting, real-time price prediction, object detection, and image classification with GPU-accelerated deployments.

Technically, I work with Python, Rust, and C++, and I leverage frameworks and tools such as PyTorch, FastAPI, Streamlit, SageMaker, Step Functions, and Quixstreams to create maintainable, observable pipelines. I emphasize model versioning, automation, and modular design to enable reproducible and scalable workflows.

I bring a problem-solving mindset, strong communication, and a track record of delivering production MLOps solutions. I am passionate about applying LLMOps and modern MLOps practices to accelerate model delivery and operational reliability.