PayOff
Offline Token Payment
Offline token-based payment application enabling transactions without continuous internet connectivity.
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I build intelligent systems, AI-powered applications, automation workflows and practical software that solve real problems.
Break complex problems into practical systems and solutions.
Work across software, databases, infrastructure, AI and deployment.
Comfortable with modern AI tools and rapidly adapting to new models, frameworks and workflows.
I'm Uzaif - a curious and driven problem solver who enjoys turning ambiguity into clear, working solutions. I'm a B.E. undergraduate in Artificial Intelligence and Machine Learning focused on building practical systems that solve real-world problems.
My approach is always the same: understand the problem first, design with intent, then build and iterate until it works reliably.
My academic journey has strengthened my foundation in Data Structures, Algorithms, and software development. Hands-on projects have trained me to diagnose root causes, iterate fast, and ship reliable solutions.
I work comfortably across software, databases, cloud infrastructure, AI/ML pipelines, and automation - comfortable with broad technical knowledge rather than narrow expertise.
I'm deeply interested in emerging AI technologies. Beyond building models, I work actively with modern AI tools, workflows, and rapidly adapting to new models and frameworks.
Beyond tech: chess, Rubik's cubes, music, and logic challenges sharpen the same thinking skills I bring to every system I build.
From problem definition to live deployment - the full lifecycle of building intelligent, practical software.
Hover or tap a hub to explore the technologies within each domain.
A quick overview of my problem-solving strengths, technical foundations, and project-focused experience.
AI & ML undergraduate and software engineer focused on scalable AI-powered and distributed applications.
Practical experiments translating AI concepts into real-world solutions. Hover or tap a project to explore its architecture.
Offline Token Payment
Offline token-based payment application enabling transactions without continuous internet connectivity.
Tap to explore architecture →
Computer Vision · Violation Detection
University rule violation detection system using YOLOv8, running at 25 FPS with 88% detection accuracy.
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Multi-Service Logistics, Mobility & Delivery Platform
Developing a multi-service mobile platform that unifies logistics, mobility, fuel intelligence, and daily-use item delivery.
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Other Work
Poojya Doddappa Appa College of Engineering, Kalaburagi. CGPA: 7.56 (6th semester). Building strong foundations in data structures, algorithms, DBMS, operating systems, and computer networks.
Leading the technical development of a multi-service logistics, mobility, fuel intelligence, and delivery platform under NAIN 2.0 with support from the Government of Karnataka.
Built a real-time university violation detection system with YOLOv8, OpenCV, and MySQL, processing video at 25 FPS with more than 88% accuracy.
Developing PayOff, an offline token-based payment application, while expanding work across distributed systems, cloud infrastructure, automation, and AI-powered applications.
This list evolves. The learning doesn't stop.
Have a project, opportunity, or idea to solve? Choose a subject and send me a message.
Send a quick message and we can book an appointment for your automation requirement.
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