Ahmad Nawaz

I am a Senior AI/ML Engineer with nine years of experience designing and delivering intelligent systems that drive business efficiency and measurable impact across finance, healthcare, and retail.

I have built end-to-end AI workflows and production-ready models, deploying at scale using Docker, Kubernetes, and cloud ML platforms such as AWS SageMaker and Google Cloud ML Engine. I engineered multi-agent systems with CrewAI and integrated RAG, LangChain, and LlamaIndex for robust LLM orchestration and document retrieval.

My technical work spans deep learning (TensorFlow, PyTorch), NLP (BERT, Hugging Face), computer vision (OpenCV, CNNs, UNet), graph neural networks, and ML engineering tools including MLflow, Triton, DeepSpeed, and Ray. I also implement data pipelines, feature engineering, and model observability to ensure reliable production performance.

I bring a pragmatic, impact-first approach to AI: solving real-world problems, improving workflows, and scaling systems for high performance. I am motivated to join teams where I can lead model design and deployment, mentor engineers, and deliver measurable outcomes.