Professional Overview
I’m a computer vision and machine learning engineer with a passion for building intelligent systems that see and understand the world. My experience spans model development, optimization, and deployment across domains such as image recognition, object detection, and visual analytics. I’ve worked hands-on with deep learning frameworks like PyTorch and TensorFlow, leveraging both classical and modern CV techniques. What sets me apart is my ability to bridge research and production — from designing robust data pipelines and training large-scale models to optimizing inference for edge and real-time environments. I stay curious, rapidly learn new tools, and take ownership of problems end-to-end. Employers should consider me because I bring a mix of technical depth, practical engineering experience, and collaborative drive. I’m comfortable working remotely across distributed teams, communicating clearly, and taking initiative to deliver measurable results. My focus is on creating computer vision solutions that are not only accurate but scalable, efficient, and impactful.