Muntazir A. is an AI Engineer with 1+ year of hands-on experience building and deploying machine learning systems in healthcare, with a strong focus on voice AI, deep learning, and knowledge graph–driven intelligence. He specializes in developing multi-agent voice AI platforms using Python, FastAPI, SIP, WebRTC, Twilio, LiveKit, and Asterisk, delivering low-latency, real-time speech pipelines integrated with Deepgram for speech-to-text and ElevenLabs for expressive text-to-speech. His expertise spans deep learning with PyTorch and TensorFlow, where he has designed custom encoder–decoder architectures for medical imaging, improving segmentation performance on large-scale 3D MRI datasets. Muntazir is highly skilled in NLP and LLM-based systems, leveraging LangChain, LangGraph, RAG frameworks, and Neo4j to transform unstructured clinical data into actionable knowledge graphs and enable complex relational querying. He brings strong experience in building automated data pipelines, observability and evaluation systems with Langfuse, containerized deployments with Docker, and cloud platforms such as AWS, complemented by solid foundations in algorithms, data structures, and applied mathematics—making him a versatile AI engineer capable of delivering production-grade intelligent systems.