I am a data scientist with 2.5+ years of relevant experience and extensive knowledge of Python, NumPy, Pandas, PyTorch, Keras, sci-kit-learn, TensorFlow, Prompt Engineering, Gen AI models and Langchain. I have successfully implemented object detection algorithms using Yolo v5, and image classification problems using VGG16, ResNet, and complex CNN architectures. I have also worked on projects like a Multi-Doc QA system using OpenAI embeddings and GPT3 and retrieving relevant questions and answers to a user's query using OpenAI embeddings deployed on Azure App services for multiple concurrent users within a timeline of 1 week. I have experience working on different GenAI tools such as GPT3.5/GPT4, llama2-7b in delivering industry grade projects.
I can write python scripts that optimize the Tesseract OCR text extraction from image as per the project requirements within 7 working days. I can provide well-documented Python scripts and other code documentation as needed. I am dedicated to delivering high-quality work that exceeds expectations, and I believe my skills and experience make me a great fit for your project.