Binildas is a Software Architect with substantial experience in R&D and practice. With over 25 years of hands on expertise in the industry, Binil handles programming languages including but not limited to Java, C#.NET and Python. Binil specialises in Malleable software architectures, and some of his work is patented by USPTO. Highly Available and Highly Scalable architectures in Distributed Computing is his area of interest where he attempts to leverage Conflict Free design patterns in Replicated systems to attain Eventual Consistency. Binil is also working in Big Data Engineering where he leverages Hadoop, Map Reduce, Apache Spark, R and PySpark. Binil uses Pytorch and TensorFlow for building Deep Learning solutions, and is currently into AI and ML solutions using Big Data to be operated from public clouds.