
About Me
I am a passionate and curious technologist with a strong interest in Edge AI, Computer Vision, and full stack development. I enjoy understanding systems end to end—from data and models to deployment, optimization, and real time execution on edge devices.
Currently, I am exploring industrial AI use cases, such as defect detection and anomaly detection, where performance, latency, and reliability matter as much as accuracy. I like breaking down complex pipelines models, streaming, inference, post processing and explaining them in a clear, structured way so others can easily follow the flow.
Alongside AI, I actively build projects using JavaScript, TypeScript, Angular, Java, Docker, and CLI tools, focusing on clean architecture, best practices, and real world problem solving. I believe in learning by building, debugging, and improving systems rather than relying only on theory.
I am driven by continuous learning, experimentation, and the goal of creating practical, scalable solutions
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