Muhammad Rizwan Munawar & Rizwan AI
Muhammad Rizwan Munawar is a computer vision and deep learning engineer and the founder of Rizwan AI, and a top contributor to the Ultralytics YOLO project. He builds object detection, instance segmentation, object tracking, OCR, and video analytics systems that ship to production, on cloud, on-prem, and edge devices, not just a notebook.
What we do
Object detection
Find and count objects in real time
Object tracking
Follow people and vehicles across frames
Instance segmentation
Pixel-accurate masks around every object
Image classification
Sort images by category or defect
Pose estimation
Track body keypoints and posture
Depth estimation
Judge distance from a single camera
OCR & document AI
Read text, fields and tables
Video analytics
Counts, dwell time and zone alerts
Quality inspection
Catch defects on the production line
Anomaly detection
Flag rare and abnormal events
Data labelling & audit
Curate, label and clean training data
Model training & tuning
Train, evaluate and lift accuracy
Edge deployment
Run on Jetson, mobile and embedded
Cloud & on-prem deployment
Ship to your servers or cloud
Monitoring & retraining
Watch drift, retrain, hold accuracy
How we work
Scope honestly
We map the problem against your actual data and say what's feasible before any model is trained.
Prototype early
A working proof-of-concept on your real imagery, so you can judge accuracy quickly.
Ship to production
We harden the model into a reliable system and keep it healthy as your data changes.
Muhammad Rizwan Munawar
Computer Vision Engineer · Founder, Rizwan AI
Computer Vision Engineer and top contributor to the YOLO project, building production AI and deep learning systems. His work spans object detection, instance segmentation, object tracking, OCR, and video analytics, taking deep learning models from prototype to production.