Muhammad R.

SwiftVision AI is a computer vision studio delivering production-ready AI systems for enterprise clients across sports tech, retail, and healthcare. As founder and CEO, I lead end-to-end delivery — from model training and system architecture to mobile integration and cloud deployment at scale. Selected results: — 15+ enterprise clients served across the US, UK, UAE, and Australia — 100+ computer vision systems shipped to production — Contributed to Medline's Skin Health app, deployed on iOS and Android — Built real-time sports analytics systems for player tracking, pose estimation, and performance measurement — Deployed retail intelligence systems including footfall analysis, shelf monitoring, and loss prevention — Delivered healthcare imaging solutions for wound measurement and movement tracking

Top Rated Plus · Top 3% of Upwork Talent · 100% Job Success Score Delivered 40+ production-ready computer vision systems for enterprises, startups, and founders across sports analytics, healthcare, retail, and industrial safety. Specialised in real-time object detection, pose estimation, OCR, image classification, and automated performance tracking — deployed across iOS, Android, web, and desktop platforms. Achieved Top Rated Plus status within six months. Master's in Software Engineering. Certified Diploma in AI.

Building GymGENZ — an AI-powered fitness mobile app targeting Gen Z users. on-device ML, CoreML, and pose estimation The app uses computer vision and on-device machine learning to deliver personalised workout tracking, real-time form correction, and meal scanning with nutritional analysis. Core responsibilities: — Designing and training computer vision models for pose estimation and rep counting — Building the iOS application with on-device ML inference using CoreML — Developing the meal scan feature — food detection and macro breakdown from camera — End-to-end product ownership from concept to App Store launch Currently in active development. Target platform: iOS / Android

Contributed to Medline’s Skin Health application by developing the AI-based camera module for automatic wound image capture and backend wound measurement (Python), including iOS and Android camera integration, as part of a larger development team Medline Skin Health App : https://apps.apple.com/us/app/medline-skin-health/id1583099820

BOYCOTTING FIVERR FOR SUPPORTING ISRAEL’S GENOCIDE OF PALESTINIANS. SOLIDARITY WITH PALESTINE. As a Computer Vision Engineer with over 3.10 years of experience in Computer Vision, Deep Learning, and Machine Learning, I have successfully completed 66 AI projects across various industries, including industrial safety, sports automation, retail, healthcare monitoring, and fitness. I specialize in transforming ideas into profitable AI applications, from brainstorming and development to deployment and maintenance. Fiverr Pro Seller: Proudly achieved Fiverr Pro Seller status, demonstrating my commitment to quality and client satisfaction. With a focus on making AI accessible and impactful, I am dedicated to transforming industries with innovative, cost-effective, and scalable AI-driven solution

I made a substantial contribution to the company by developing international automated real-time sports result analysis system based on computer vision. Additionally, I spearheaded the creation and leadership of a proficient computer vision team, delivering four successful AI applications within a year, thus significantly fostering the company's growth during my tenure

I worked here on backend Python Programming & their popular framework OpenCv, Pytorch, Tensorflow & Algorithms YOLO, EfficientNet, DeepSort, MaskRCNN, Unet, EasyOcr, TesserAct etc to automate Industry's problem, described below: -- Track & count the fast-moving objects -- Detect & classify the real-time products -- Segment out object from the images -- Digitize Bank Shop Mart's Invoices