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Schedule Interview NowMy name is Muhammad H. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Machine Learning Model, Python, Computer Vision, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: House Price Prediction Using Machine Learning & Data Analytics, AI-Powered Skin Tone Detection for Personalized Fashion Recommendation, Intelligent PDF Search & Analysis Using RAG and NLP, Real-Time Body Pose Estimation and Motion Tracking, Diabetes Prediction Using Machine Learning, etc.. I am based in Hyderabad, Pakistan. I've successfully completed 10 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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This project is a machine learning based house price prediction system designed to estimate real estate values using key property features such as area, location, number of bedrooms, bathrooms, and am
In this project, I built a Computer Vision–based skin tone detection system for the fashion industry to enable personalized outfit recommendations. The model analyzes a user’s image to detect skin to
I developed an AI-powered PDF management application that allows users to upload and chat with multiple documents simultaneously. Using Retrieval-Augmented Generation (RAG) and Natural Language Proces
Built a real-time AI-powered human pose detection system using MediaPipe to accurately detect and track body landmarks from live video streams. The system analyzes human posture and movement patterns
This project focuses on building a diabetes prediction system using Machine Learning to help assess health risks from key medical parameters such as glucose level, BMI, insulin, blood pressure, and ag
Bachelor of Computer Science (BCompSc) in Computer science
2022-01-01-2026-01-01