Hammad Khurshid
@hammadkhurshid
Passionate Full Stack and AI Developer with expertise in modern technologies.
What I'm looking for
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.
Experience
Work history, roles, and key accomplishments
Full Stack Software Engineer
Lootpaw Pets
Aug 2024 - Present (10 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.
Freelance AWS & AI Developer
Fiverr
Jan 2022 - Present (3 years 5 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.
Education
Degrees, certifications, and relevant coursework
Hazara University Mansehra
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%).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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