Hands on lead software & data/Machine learning engineer with over 15 years of experience specializing in data engineering, machine learning, mlops, dataops and big data analytics with extensive experience in solution design, architecture and implementation of cloud based data platforms and MLOps. I am passionate about bringing machine learning powered use cases to end users at scale. Specialties: MLOps - experienced operationalising and tuning machine learning models for both batch and online inference at scale, designing and building end to end ml pipelines and supporting ml infra. Terraform, Vertex.ai, Kubeflow, Docker,Cloud run, Bigquery, Pub sub, Dataflow, Kafka, gRPC, ML. Data Engineering - Experienced with both on prem and cloud Hadoop distributions. Extensive hands-on development experience using Scala, Java, Python and Bash, building custom big data applications using Spark, Apache Beam & Traditional Map reduce frameworks. Data Pipelines - Experienced designing and building data pipelines to ingest,curate and process data at scale (batch, micro-batch, streaming) and integrating classical data warehousing solutions (Teradata, Oracle, SQL-Server) with Hadoop/cloud based data platforms. Devops - experienced supporting Hadoop & Spark clusters in production (YARN, K8s and standalone), experienced building CI/CD pipelines (Jenkins, Teamcity, Harness, Github) and logging/monitoring/sre capabilities (ELK Stack, Cloud monitoring) Machine Learning - Competent applying machine learning algorithms at scale, experienced building machine learning models with H20, Mllib and Weka, Sklearn, Pytorch (Classification, Regression & Bayesian models), competent with optimisation/operations research techniques & natural language processing as well as statistical learning methods, basic knowledge of applied neural networks and deep belief & recurrent networks. Technology Stack: Google Cloud Platform, Terraform, Vertex.ai, Kubernetes, Apache Spark,Apache Beam, Apache Kafka,Bigquery, Bigtable, Spanner, Hadoop, Hive, Hashicorp Vault, Terraform, Oozie, Flume, Hbase,MongoDB, ElasticSearch, Solr, Play, AngularJs,AWS, Teradata, Lucene, H20, Sci-kit, NLTK, NLP, Chatbots & Cognitive services, Programming languages: Scala,Java,Python, Bash.