About

Pradeep Kumar Yadav is a highly skilled Machine Learning Engineer with over 6 years of relevant experience in the field of AI, Deep Learning, and Computer Vision. He is currently working as a Machine Learning Engineer at aera technology, where he is responsible for developing and implementing ML models and MLOps. Pradeep has a strong academic background, having completed his Bachelor of Engineering in Computer Engineering from the International Institute of Information Technology, Pune. He is a self-motivated individual who is passionate about solving challenging problems in computer vision and natural language processing. Pradeep's technical skills are diverse and extensive, including expertise in Deep Learning techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) with LSTMs and GRUs units, Transformers, and more. He is also well-versed in Computer Vision techniques such as OpenCV for object detection, pattern matching, and denoising. In addition, he has experience in Natural Language Processing techniques such as Transformers, tfidf, Ngram, Stemming, Lemmatisation, Cosine similarity, GLoVe, Word2vec, and more. Pradeep is proficient in several programming languages, including Python and C. He is also well-versed in various Machine Learning frameworks such as PyTorch, PyTorch Lightning, TensorFlow, Keras, and scikit-learn. He has extensive experience working with cloud platforms such as GCP, web frameworks such as Flask, and software tools such as Git, JIRA, Visual Studio Code, Sublime, VIM, Anaconda, and Docker. Throughout his career, Pradeep has worked with several companies, including quantiphi, where he worked as an Associate Technical Architect and Senior Machine Learning Engineer. He has also worked with embedded devices such as Nvidia Jetson Xavier, Jetson Nano, and Raspberry Pi. In summary, Pradeep Kumar Yadav is a highly skilled and motivated Machine Learning Engineer with diverse expertise in AI, Deep Learning, and Computer Vision. He has a strong academic background and extensive experience working with various programming languages, frameworks, and tools. He is a valuable asset to any organization seeking to develop and implement cutting-edge ML models and MLOps.