UI components
In this project I designed a system based on YOLOv3 to detect and predict the bounding box class probability of UI components , as a part of the project I have to clean and annotate the UI components in the picture.
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I am an AI/ML Engineer with over 3 years of hands-on experience in data annotation, training data preparation, and prompt engineering for large language models and computer vision systems. My expertise includes designing and iterating LLM prompts for models like GPT-4, Claude, and LLaMA, as well as building robust data pipelines using LangChain, RAG, and Azure ML. I have led projects involving automated document classification and summarization, leveraging NLP transformers to ensure high-quality, consistent outputs and reduce processing time by up to 70%. My work spans both structured and unstructured data, including medical imaging synthesis using GANs and diffusion models, and UI component detection with YOLOv3. I am passionate about bridging business needs with AI capabilities by applying precise data labeling, prompt engineering, and systematic model evaluation, using tools such as Python, PyTorch, SQL, and Power BI.
In this project I designed a system based on YOLOv3 to detect and predict the bounding box class probability of UI components , as a part of the project I have to clean and annotate the UI components in the picture.
Master of Technology, Data Science and Engineering
Bachelor of Technology, Computer Science and Business System
Software Engineer
Intern Engineer