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.
AI Engineer
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…
Building Knowledge Graphs with LLM | Data Scientist
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.
AI Engineer
CureMD HealthcareJul 2024 — Present- Deployed a production-grade multi-agent Voice AI platform for healthcare using SIP, Twilio, Asterisk, LiveKit, and FastAPI.
- Built low-latency speech pipelines integrating Deepgram for STT and ElevenLabs for expressive TTS.
- Developed a full observability and analytics stack with Langfuse, enabling end-to-end LLM traceability.
- Data intelligence systems using machine learning, Neo4j knowledge graphs, NLP, and GenAI to deliver actionable healthcare insights.
SIPTwilioAsteriskLiveKitFastAPIDeepgramElevenLabsLangfuseNeo4jNLPGenAILangGraphLangChainAgentic SolutionsRAGNLPConversational AI
Bachelor of Engineering in Electrical Engineering
Institute of Space Technology, PakistanPakistan2020 — 2024

AI Engineer
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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…
- Projects completed2
- Hourly rate
- 0-2 years experience
- Member since Feb 2026
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.
Building Knowledge Graphs with LLM | Data Scientist
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.
AI Engineer
CureMD HealthcareJul 2024 — Present- Deployed a production-grade multi-agent Voice AI platform for healthcare using SIP, Twilio, Asterisk, LiveKit, and FastAPI.
- Built low-latency speech pipelines integrating Deepgram for STT and ElevenLabs for expressive TTS.
- Developed a full observability and analytics stack with Langfuse, enabling end-to-end LLM traceability.
- Data intelligence systems using machine learning, Neo4j knowledge graphs, NLP, and GenAI to deliver actionable healthcare insights.
SIPTwilioAsteriskLiveKitFastAPIDeepgramElevenLabsLangfuseNeo4jNLPGenAILangGraphLangChainAgentic SolutionsRAGNLPConversational AI
Bachelor of Engineering in Electrical Engineering
Institute of Space Technology, PakistanPakistan2020 — 2024
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