About

Rajeev Warrier is a highly skilled Machine Learning Engineer with 5.44 years of relevant experience. He is currently working at Verloop.io as a Machine Learning Engineer, where he is responsible for developing and implementing machine learning models to improve the chatbot technology. Rajeev's expertise lies in the areas of ML, NLP, AI, Python, test, Android, Deep Learning, AWS, Pytorch, NLU, XGBoost, CNN, Word2Vec, Normalization, Research Scientist, Neural Networks, Flask, and Frontend. He has a Bachelor of Engineering degree in Electronics Engineering from the University of Mumbai, which he completed in 2017. In his previous role at Centillion, Rajeev worked on several projects, including street asset detection on equirectangular panorama images, a production-ready goal-oriented chatbot, and a business card to text android OCR application. He was also responsible for writing and maintaining automated test cases for various machine learning problems. As a Machine Learning Intern at Omnisys, Rajeev developed an HR leave assistant chatbot that could hold an end-to-end conversation and automatically apply for leave. He also worked on onwards truck time prediction based on raw database values collected using IOT devices. His tasks included predicting the best driver for a route and the actual time taken with a specific driver, route, cargo, and warehouse. Rajeev is a highly motivated individual with a passion for research and development. He has a strong track record of delivering high-quality work and has excellent problem-solving skills. He is a team player and has the ability to work under pressure and meet tight deadlines.