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@hammadkhurshid
Passionate Full Stack and AI Developer with expertise in modern technologies.
I am a passionate and driven Full Stack and AI Developer with a Bachelor's degree in Artificial Intelligence. My specialized knowledge encompasses machine learning, deep learning, and computer vision, which allows me to tackle complex challenges effectively. I have a proven ability to design, develop, and deploy robust applications using modern technologies such as React.js, Node.js, and Python.
In my current role as a Full Stack Software Engineer at Lootpaw Pets, I focus on enhancing user experience by designing and implementing new features for our mobile application. I also lead front-end development and engineer robust back-end services, ensuring optimal performance and scalability. My previous experience as a Junior Software Developer at FireText Dispatch Solutions allowed me to contribute to maintaining existing software and developing innovative features, further honing my skills in software development practices.
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Work history, roles, and key accomplishments
Lootpaw Pets
Aug 2024 - Present (1 year 3 months)
Designed and implemented new features for the company's mobile application, enhancing user experience and functionality. Maintained and updated the official company website, ensuring optimal performance and up-to-date content. Integrated Bluetooth-based IoT tracking devices with the application to enable real-time communication and control.
Fiverr
Jan 2022 - Present (3 years 10 months)
Successfully executed over 15 AWS tasks for various clients, including setup and management of EC2, RDS, S3, and Route 53. Led a complex project to convert a GUI-based deep learning model into a Flask-based web application hosted on an AWS EC2 instance, integrating it with an Android app for 3D face mesh generation from user-uploaded images.
Degrees, certifications, and relevant coursework
Bachelor of Science, Artificial Intelligence
Grade: 3.59/4.00 (89%)
Activities and societies: Key Projects: Visual Assistant for Blinds (Final Year Project), Candidate Data Extractor, Hand Gesture Detection.
Completed a Bachelor of Science in Artificial Intelligence, focusing on machine learning, deep learning, LLMs, RAG, and computer vision. Achieved a CGPA of 3.59/4.00 (89%).
Software and tools used professionally
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