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Schedule Interview NowMy name is Hassan I. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: TensorFlow, Python, Machine Learning, PyTorch, Chatbot, etc.. I hold a degree in Bachelor's degree, Master's degree. Some of the notable projects I've worked on include: Health Care Fund Raising Marketplace, Custom AI Story Creator – Generate Stories from Your Prompts, Medical & Dental Appointment Booking System, Deployment of Dog Breed Detection model using Flask, Plant Leaf Disease Detection Mobile App, etc.. I am based in Faisalabad, Pakistan. I've successfully completed 6 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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Nutrifactor
NX-Innoverse is a healthcare innovation marketplace developed with React for the frontend and Django REST Framework for the backend. It supports JWT authentication, role-based access control (nurse, i
Custom AI Story Creator – Generate Stories from Your Prompts is a web application enabling dynamic text generation via custom user-defined prompts. Developed with a React frontend and Django REST Fram
I developed the Medical and Dental Appointment Booking website using a modern full-stack approach. The frontend is built with React.js for a responsive and intuitive user interface. The backend is pow
Created a deep learning Dog breed detection model using Tensorflow and Keras and deployed the deep learning model using Flask as Web Application. The deployed model has 98% accuracy.
Developer a Plant Leaf Disease Detection Mobile App Using React Native and Django, I first got plant leaf disease data from multiple sources like Plant Village Dataset, PlantDoc Research dataset and D
Bachelor's degree in Computer science
2017-01-01-2021-01-01
Master's degree in Artificial Intelligence
2023-01-01-2024-01-01