Muntazir A. is an AI Engineer with over a year of experience in building and deploying machine learning systems in the healthcare sector, focusing on voice AI and deep learning technologies. His core stack includes Python, FastAPI, SIP, WebRTC, and Twilio, which he uses to develop multi-agent voice AI platforms. Muntazir builds low-latency, real-time speech pipelines with Deepgram and ElevenLabs, and leverages PyTorch and TensorFlow for deep learning projects. He also employs LangChain, LangGraph, and Neo4j for NLP and LLM-based systems, focusing on transforming unstructured data into knowledge graphs. At CureMD Healthcare, Muntazir developed an AI contact center system that handles over 1,000 daily calls, reducing appointment no-show rates by 15% across 10 US practices. He also transformed 50,000+ provider notes into Neo4j knowledge graphs, achieving 92% entity extraction accuracy for patient diagnosis relationships. Muntazir holds a Bachelor of Engineering in Electrical Engineering from the Institute of Space Technology, Pakistan. He is well-suited for roles that require building intelligent systems and data-driven solutions in healthcare and related industries.
Built voice agent system handling 1000+ daily calls via SIP and WebRTC protocol. Reduced appointment no-show rates by 15% across 10 US practice through automated calls and also handling afterhours calls. Integrated medication refill and telemedicine workflows into unified platform.
Transformed 50K+ unstructured provider notes into Neo4j knowledge graphs using Transformer models. Achieved 92% entity extraction accuracy with RAG framework for patient diagnosis relationships. Enabled complex querying of clinical data relationships for treatment pattern analysis.
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