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Schedule Interview NowMy name is Hamza A. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Machine Learning, Computer Vision, Python, AI Development, etc.. I hold a degree in , Bachelor of Science (BS), Master's degree. Some of the notable projects I've worked on include: Optical Character Recognition (OCR) using PaddleOCR, Training YOLACT Model to Accurately Segment Car Windows in Images, Car Segmentation, Remove Background Using Python, Real-Time Smoking, Smoke & Fire Detection Via Live Camera Streams., etc.. I am based in Lahore, Pakistan. I've successfully completed 9 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.
Main technologies
4 years
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3 Years
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Adlytic AI
I developed a robust OCR solution using PaddleOCR, an advanced and efficient Optical Character Recognition tool provided by PaddlePaddle. This project aimed to extract and digitize textual content fro
The goal of this project was to train a YOLACT model, which is a PyTorch-based instance segmentation model, to segment car windows in images. This involved training the model on a dataset of car image
In this project, I successfully implemented car image segmentation using the YOLACT. The goal was to accurately separate the car from the background in various images. After training the model on a da
In this project, we utilized deep learning techniques to remove the background of car images. The objective of the project was to develop a model that could accurately and efficiently remove the backg
Real-Time Detection of any person smoking cigarettes or any smoke or fire related activity for safety via live camera streams using Object Detection.
in Web Development
2020-01-01-2020-01-01
Bachelor of Science (BS) in Computer science
2016-01-01-2020-01-01
Master's degree in Data Science
2023-01-01-2024-01-01