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Schedule Interview NowMy name is Muhammad Rizwan M. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Convolutional Neural Network, Neural Network, Computer Vision, Data Science, TensorFlow, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), High school degree. Some of the notable projects I've worked on include: Fruits Segmentation SAM, AI Virtual GYM MediaPipe, Fish Detection & Tracking, Image Classification COVID-19 Chest X-Rays, YOLOv5 Smoke Detection, etc.. I am based in Islamabad, Pakistan. I've successfully completed 6 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
Main technologies
5 years
2 Years
1 Year
2 Years
Potentially possible
Augmented Startups
Fruits Segmentation Using Segment-Anything
Virtual AI Gym! MediaPipe: Monitor your workouts 👇 Using MediaPipe pose estimation, the GYM model can track the movement of your body and accurately count the number of reps you perform, giving you
Fish Detection and Tracking with different Types (YOLOv8 + Byte Track) YOLOv8 has been used to identify fish's presence, location, and movement in water bodies and seas. This technology has become inc
Developed COVID-19 chest X-Rays classification using different network that includes VGG16, VGG19, Resnet18/34 & Convolutional Neural Networks. This project involves mentioned steps. a) Data gathering
Developed object detection using YOLOv5 algorithms. I have trained model on person smoking dataset. This project involves mentioned steps. a) Data gathering b) Data preprocessing or cleaning c) Data l
Bachelor of Computer Science (BCompSc) in Computer Science | Computer Vision
2017-01-01-2021-01-01
High school degree in Pre-Enginnering
2015-01-01-2017-01-01