About

Nithin Raj K M is an AI Developer 2 at IQVIA with around 5 years of experience in software engineering. He specializes in building backend APIs and data pipelines, with a particular focus on the development and deployment of AI models. Nithin is a fast learner and is skilled in writing clean, optimized, and maintainable code. Nithin has co-authored a paper titled "A Machine Learning Approach for Identifying Patients at Risk of 30-day Readmission" published in the IEEE International Conference on Healthcare Informatics 2021. Prior to joining IQVIA, Nithin worked as an Associate Python Developer at Oracle. During his time there, he delivered active jobs and resource utilization tracker features for the DIS platform, designed and implemented PoCs on versioning of Python/Pyspark partner applications, and improved in-house Kubernetes utilities and k8s API server interaction logic. He also implemented a feature to support multi-tenant shared wallet functionality in Spark/pyspark/Java/python jobs for seamless and quick integration with Autonomous Data Warehouse service. Nithin has also worked as a Software Engineer at Cohere-Med Inc. where he built a DNN model for heartbeat categorization using Keras and Tensorflow APIs. He also implemented a configuration-driven data pipeline builder, improving code reusability. Nithin has experience working with Apache Kafka-based systems for rhythm analysis and arrhythmia classification on bulk data. Nithin completed his Bachelor of Technology in Electronics and Biomedical Engineering from Model Engineering College in 2018. He is proficient in AI, Spark, Python, Backend, Software Engineering, Data Warehouse, CI/CD, test, Kubernetes, Integration, Keras, Java, Tensorflow, and Kafka. With 4.70 years of relevant experience, Nithin is a valuable asset to any team looking to develop and deploy AI models.