Projects using Hugging Face in LahoreProjects using Hugging Face in LahoreLakeShield - AI-Powered Video Monitoring and Vessel Intelligence Platform
I led the development of LakeShield as the Senior AI/ML Engineer and Lead Developer, taking the platform from initial research and experimentation to a scalable production system.
My responsibilities included:
š¹ Designing the end-to-end AI and video-processing architecture
š¹ Building YOLO-based boat and vehicle detection pipelines
š¹ Developing object tracking and movement-analysis workflows
š¹ Implementing OCR for extracting boat registration information
š¹ Creating scalable pipelines for processing thousands of surveillance videos
š¹ Developing FastAPI backend services and automated data workflows
š¹ Building a Next.js analytics dashboard integrated with Supabase
š¹ Deploying and operating the AI pipeline on cloud GPU infrastructure
š¹ Optimizing model accuracy, inference speed, infrastructure costs, and reliability
š¹ Managing production monitoring, troubleshooting, maintenance, and continuous improvements
The platform transforms raw surveillance footage into structured operational insights, enabling automated vessel monitoring, vehicle activity analysis, registration extraction, and reporting.
This project involved complete technical ownership across Computer Vision, AI/ML, backend development, cloud infrastructure, data engineering, MLOps, and production operations.
#ComputerVision #VideoAnalytics #ArtificialIntelligence #ObjectDetection #OCR #MLOps #FastAPI #NextJS #Supabase #CloudEngineering Shelfr - AI-Powered Retail Shelf Intelligence Platform
I led the development of Shelfr as the Senior Computer Vision Engineer and Lead Developer, taking the platform from the initial idea and system architecture through development, deployment, and production operations.
My work included:
š¹ Designing the complete computer vision and backend architecture
š¹ Building product detection, shelf analysis, OCR, and image-processing pipelines
š¹ Developing APIs and scalable data-processing workflows
š¹ Deploying and managing production systems on GCP cloud servers
š¹ Optimizing model accuracy, processing speed, and infrastructure performance
š¹ Managing production monitoring, reliability, troubleshooting, and ongoing improvements
š¹ Leading technical decisions across AI, backend, cloud infrastructure, and DevOps
The platform converts real-world retail shelf images into structured product and shelf-level insights, helping automate retail auditing, product visibility analysis, and inventory workflows.
#ComputerVision #RetailAI #LeadDeveloper #AIEngineering #GCP #MLOps #Python #CloudEngineering 
