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Schedule Interview NowMy name is Muhammad Hammad B. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, TensorFlow, Python, Computer Vision, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: Real-Time Multi-Camera Sports Vision System for Tracking & Highlights, Movers AI (AI & Vision based automatic invoice generation), Multimodal Drone & Satellite Image for Object Detection/segmentation, AI in neuromarketing, Real-Time Horse Pose Estimation for Sports Biomechanics, etc.. I am based in Mianwali, Pakistan. I've successfully completed 6 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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Built a real-time sports computer vision system using live HIKvision RTSP feeds to detect, track, and analyze players, balls, and game events. The system uses YOLOv8m with ByteTrack and TrackNet for l
Project Goal: Streamline the moving quote process by enabling customers to submit accurate inventory through guided photos. Solution: A no-download, AI-powered web app guides users to capture room-by
Worked on TMGDronity (https://app.tmgdronity.com ), integrating satellite and drone imagery (RGB, multispectral, hyperspectral) with DCIM maps for detecting underground indicators and above-ground obj
leverage artificial intelligence and machine learning technologies to further enhance our behavioural science analyses and design strategies. Used AI to increase the user attraction for video and imag
Developed a real-time horse pose estimation system using a custom keypoint model trained with MMPose and supporting CV libraries. The pipeline detects and tracks horse joints from video streams, enabl
Bachelor of Science (BS) in Computer science
2017-01-01-2021-01-01