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Schedule Interview NowMy name is Muhammad B. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Keras, Data Science, pandas, Machine Learning, Python, etc.. I hold a degree in , Bachelor's degree. Some of the notable projects I've worked on include: AnglerVision – AI-Powered Sports Fishing Technology, Robert V1 – Real-Time AI-Powered LEGO Sorting System, LeapMetrics: Advanced Jump Analysis Using Computer Vision, Train-ML-models-NoCode-UI, Counter-Strike: Global Offensive Aimbot, etc.. I am based in Lahore, Pakistan. I've successfully completed 9 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
Main technologies
4 years
3 Years
1 Year
3 Years
Potentially possible
AthenaAI
AnglerVision’s Aqua app is an AI-powered sports fishing platform that uses real-time video analytics for fish detection. The system struggled with false positives, rigid pipelines, and memory crashes.
Robert V1 is a real-time LEGO sorting system built for Canada First Bricks, designed to autonomously detect, classify, and sort over 300 unique LEGO parts with high precision. Powered by NVIDIA Jetso
Intuitive Streamlit UI for easy interaction Support for training, fine-tuning, and predictions Multiple model support with the ability to compare results Preprocessing options including handling null
This project is a real-time enemy detection system for the popular video game CS: GO. It uses ASOne, a combination of a deep learning-based detector and a handcrafted tracker, to detect enemies on the
Developed an advanced application as part of the YOLOv7 and YOLOv8 courses, for detecting personal protective equipment (PPE) in real-time. The project involved training YOLOv7 and YOLOv8 models, as w
in
2016-01-01-2018-01-01
Bachelor's degree in
2018-01-01-2022-01-01