About

Mudit Rathore is a highly skilled Machine Learning Engineer with over 3 years of experience in the field. He holds a Master's degree in Information Technology from the Indian Institute of Information Technology (IIIT) and a Bachelor's degree in the same field from the same institution. He also completed his high school education at Kendriya Vidyalaya No.3, Chakeri Kanpur. Mudit is currently working at CRED as a Machine Learning Engineer, where he is developing a platform for automating the ML-Ops. The platform will help teams in the development of stable, reliable, and audit-able production models faster and with less redundant overhead. He is also developing an Anomaly Detection Engine to detect and understand anomalous behavior shown by different metrics and an Insights Engine to automate insights generation and early identification of new insights leading to better decision-making. He designed and implemented the Data Annotation Platform. Before joining CRED, Mudit worked at Savage as a Founding Engineer, where he designed analytics and compute pipeline and internal tools such as the Coach Tool and Customer Service Tool. He also worked at Flipkart as a Software Developer Engineer I, where he productionized the use of AI/ML across business units. He developed a platform for managing the complete life-cycle of the AI model development across data sourcing/management, model training, model inference and experimentation, testing, hosting, and monitoring. He also developed alerts capability and library for insights into the AI/ML model performance for Image Classification, Object Detection, and Text Recognition Models. He won multiple awards at Flipkart, including Instant Karma and Team Performance. Mudit has a keen interest in AI/ML Development Lifecycle, backend development, scalability, and distributed systems, solving complex problems using technology and Machine learning. He is proficient in various technologies such as ML, Backend, AI, Python, Data Scientist, Research Scientist, Object detection, Object Detection, test, MongoDB, Software Engineer, Java, Deep Learning, Spark, Redis, Kubernetes, Docker, TensorFlow, Neural Networks, MySQL, Kafka, Microservices, Pytorch, and Web. He is also an efficient communicator and a well-organized self-starter who can multitask to deliver on commitments.