About

PLN Rahul is a Lead Product Engineer at Sprinklr with a strong background in backend Java development. He is a dedicated learner with a passion for exploring new technologies and has experience working with various tech stacks used in production. In addition to his work, he has a keen interest in Machine Learning, Artificial Intelligence, and Blockchain Technology and has been actively working to improve his knowledge in these areas. Rahul has previously worked as an intern at Aufenbach and Wipro, where he worked on a project aimed at proactively detecting and preventing fraud in BFSI using emerging technologies such as Machine Learning and Artificial Intelligence. He conducted thorough research to understand the basics of AI and ML and studied various technologies, including both open source and commercial technologies. He developed models using neural network and random forest approaches, achieving high accuracies on the training set and successfully handling the problem of overfitting. He used technologies and frameworks such as Python, Tensorflow, Pandas, and Scikit-learn. Rahul holds a Bachelor of Technology degree in Electrical and Electronics Engineering from the National Institute of Technology Warangal. He also completed the Technological Entrepreneurship Program from the Indian School of Business. Prior to this, he completed his Intermediate from FIITJEE, Hyderabad, and his Middle School from Amity International School, Gurgaon, and Johnson Grammar School, Hyderabad. Rahul's tech stack includes Software Engineering, Blockchain, Web Development, Machine Learning, Backend Development, Java, Neural Networks, Random Forest, Artificial Intelligence, Scikit, Research Science, Tensorflow, and Pandas. With 3.79 years of relevant experience, he is a highly skilled and motivated engineer with a passion for learning and exploring new technologies.