I'm a Machine Learning engineer with over 5 years of experience and a master's degree in Computational Engineering and Networking. I have a proven track record in developing Machine Learning, Deep Learning, Statistical models, and Generative AI models. Recently, I've published two patents, a research paper on Stock Market Prediction, and three white papers.Research Paper : https://www.sciencedirect.com/science/article/pii/S1877050918307828White Paper : https://www.hcltech.com/white-papers/novel-method-for-graph-validation-using-ai-and-computer-vision-techniques#I'm skilled in using common data science and visualisation tools like Hugging Face, PyTorch, TensorFlow, SpaCy, NLTK, and other NLP libraries. My expertise includes data augmentation, validating text data from images/PDF documents, image classification, object detection, and feature extraction from both images and text using deep learning and computer vision tools.I have prior experience in developing ML solutions for the medical domain and collaborating with clinical teams to develop a Case Report Form annotation tool using ML. I have experience team lead of five members team and possess strong project management skills. Additionally, I excel in organisational and planning skills, able to prioritise tasks to meet deadlines even under pressure and interruptions. I'm also proficient in Cloud environments and data storage options, especially on AWS.My core strengths lie in problem-solving, creativity, communication, and teamwork, and my mission is to drive positive change through AI.I'm ready to dive into the AI domain and eager to connect with fellow AI enthusiasts. Let's connect!