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mudassar531/README.md

Hi, I'm Mudassar Awan 👋

AI/ML Engineer · Voice AI · Computer Vision · MLOps

GitHub Email


Currently

Role Company / Product Focus
Junior AI Engineer CareCloud MTBC Healthcare ML, claims AI, RAG, clinical automation
Voice AI Engineer NavAI Uzbek voice agents, STT/TTS, LiveKit, SIP, observability
Product Owner CounterVision Real-time tracking, face recognition, CV product delivery

What I build

  • Voice AI systems with real-time speech, telephony, LLM orchestration, and monitoring.
  • Computer vision products for tracking, recognition, retail automation, and medical imaging.
  • Healthcare ML pipelines for claim denial prediction, CPT/ICD mapping, and document AI.
  • LLM/RAG systems, corpus pipelines, and production-ready ML APIs.

Tech stack

Tech stack icons

LLMs Computer Vision Voice AI MLOps


Featured work

Cashierless retail automation using CCTV-based shopper tracking, action detection, and virtual cart generation.

YOLOv10 medical-imaging workflow for kidney stone detection experiments.

Object detection and segmentation experiments using YOLO, SegFormer, and ResNet.

Image-to-image translation experiments for face and sketch generation.


Education

BS Computer Science - Artificial Intelligence
FAST University Islamabad / FAST NUCES · 2021-2025


GitHub snapshot

Mudassar's GitHub stats Top languages

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  1. kidneystone-detection-yolov10 kidneystone-detection-yolov10 Public

    YOLOv10 medical-imaging workflow for kidney stone detection experiments.

    Jupyter Notebook

  2. map-building-yolov9 map-building-yolov9 Public

    YOLOv9 computer-vision experiments for map and building detection workflows.

    Jupyter Notebook

  3. QuranGPT QuranGPT Public

    Quran-focused NLP and retrieval-augmented generation experiments using notebook-based AI workflows.

    Jupyter Notebook

  4. yolov8-comparation yolov8-comparation Public

    Benchmarking YOLO, SSD, and Faster R-CNN object-detection models across speed and recognition quality.

    Jupyter Notebook