About

Rajat Saxena is a Machine Learning Engineer with a passion for developing intelligent software. He is skilled in a range of cutting-edge technologies, including Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. With 5.11 years of relevant experience, Rajat has a proven track record of delivering high-quality solutions for complex problems. Currently working as a Software Engineer at Gartner, Rajat has previously worked as a Member Technical Staff at NEC Corporation. During his time at NEC, he worked on end-to-end Machine Learning tasks, including feature engineering, word embeddings, outlier detection, data visualization, regularization of neural network architectures, hyperparameter optimization, and model validation. He also worked on a range of domains, including Natural Language Processing, Chatbot Development, Text Classification, and Financial Modelling. Rajat has extensive experience working with libraries such as RASA, Scikit Learn, NLTK, FastText, SpaCy, StanfordNLP, fastai, Tensorflow, and Keras. He has also deployed ML models by developing REST APIs using Flask and contributed to non-technical activities such as communication with clients, data owners, and other stakeholders and mentoring juniors. Rajat is a graduate of Gautam Buddha University, where he completed an Integrated Masters in Computer Science and Intelligent Systems. He also holds a Class 12th (CBSE) degree from Modern Vidya Niketan, Faridabad, and a Class 10th (CBSE) degree from Aravali International School. Rajat's technical skills include ML, Software Engineering, NLP, Computer Vision, Deep Learning, Neural Networks, AI, Text Classification, Python, Keras, Hyperparameter, Research Scientist, Tensorflow, Flask, BERT, Scikit, Normalization, AWS, Recommendation System, Naive Bayes, Sagemaker, Django, Data Scientist, Salesforce, and UI. He is interested in research projects that solve challenging problems and is always looking for new opportunities to expand his knowledge and skills.