About

Karthik Penaka is a highly experienced Deep Learning and Machine Learning Engineer with over 9 years of experience in the IT industry. He has spent 6 years as an ML engineer, with a focus on Deep Learning for the past 3 years. Karthik has also spent 4 years developing on Cloud-based Hadoop platforms, including Azure, AWS, and OnPremise. He has strong experience in Python, C++, SQL, Docker/K8s, and Unix. Karthik is an expert in Tensorflow, Keras, Pytorch, MLflow, and Rest APIs. He has experience in model evolution, model monitoring dashboard, and deployments at scale. Karthik is an effective communicator with excellent relationship and interpersonal skills. He has strong analytical, problem-solving, and organizational abilities, and he demonstrates high ethics and values, inspiring loyalty and trust. Karthik has a Master of Science degree in Computer Science from the University of California, Berkeley. He has attended data science events such as Philips Innovation and Capgemini I&D services. Karthik has also received second place in the National Mathematics Talent Exam. Currently, Karthik is a Machine Learning Researcher AI at Microsoft. Previously, he worked as a Senior Data and ML Scientist at Capgemini, where he productionized the ML code, migrated SAS and R code in Python, created data lifecycle, ML lifecycle, microservices, and end-to-end automation (pipelines). He also packaged ML models, dockerized Python environments, and created endpoints to serve models as an API. Karthik has experience using DevOps automation tools using Azure DevOps and Github. He created and maintained fully automated DevOps CI/CD pipelines for ML model deployments and participated in an on-call schedule, responding to ad hoc requests and surfacing areas of operational improvements. Karthik has also worked as a Data Engineer at Royal Bank of Scotland Business. Karthik's tech stack includes ML, AI, Research Scientist, Deep Learning, AWS, Python, Hadoop, Azure, DevOps, SQL, Keras, Docker, Data Scientist, Tensorflow, Pytorch, Spark, CI/CD, Kafka, Microservices, infra, Data Engineering, and Apache Hive.