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Schedule Interview NowMy name is Muhammad U. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Natural Language Processing, Deep Learning, Computer Vision, Machine Learning, Data Science, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: PlayBook AI, DripX, Caroogle, Magic Furnish, Vehicle Inspection, etc.. I am based in Islamabad, Pakistan. I've successfully completed 14 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
Main technologies
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RevolveAI
PlayBook AI is an AI-powered platform for analyzing regulatory documents from PDFs and DOCX, scraped via Selenium and APIs. It supports reading, highlighting, translation, and semantic search, with LL
DripX is an AI-powered, IoT-enabled system for detecting toilet tank leaks in real-time. It uses accelerometer, gyroscope, and compass data to analyze water flow and identify abnormal patterns. A ligh
This project involved developing a system to analyze the Australian car market, focusing on identifying profitable opportunities for buying and reselling vehicles. Leveraging market data, I built fina
MagicFurnish is an AI-powered system that combines computer vision and OCR to analyze floor plan images with precision. It automatically detects and segments room and door boundaries while extracting
Developed a computer vision system to analyze video streams from vehicle assembly lines, focusing on quality control of silicon application. The system used deep learning for precise segmentation and
Bachelor of Science (BS) in Computer science
2015-01-01-2019-01-01