🚀 Experienced DevOps Engineer passionate about optimizing software development lifecycle through automation and collaboration. With a proven track record spanning 4 years and multiple organizations, I specialize in building robust CI/CD pipelines, managing scalable infrastructure on cloud platforms, and implementing effective monitoring and logging solutions.🔧 My expertise includes configuring and maintaining Kubernetes clusters, leveraging Docker for containerization, and scripting with languages such as Python and Bash.🌍 I thrive in dynamic environments, collaborating closely with development, operations, and QA teams to streamline processes and improve deployment efficiency.🎓 I hold a solid foundation in cloud technologies including AWS and Azure, and continuously seek to expand my knowledge through certifications and professional development.Let's connect to discuss how my skills can drive efficiency and innovation in your organization!Can work with the following stack:LanguagePython, JavaScript, GolangBackend FrameworkDjango, Flask, FastApiDatabase/ Search Engine/ CachingPostgreSQL, MySQL, SQLite, MongoDB, Apache Cassandra, Redis, Celery, ElasticsearchConfiguration and ScalabilityDocker, Kubernetes, Jenkins, Ansible, Apache Spark, Apache ArrowCloud ProvidersAWS, Azure, GCP, Digital OceanCertificationsAzure, GCPHave Knowledge and worked on pet projects with these technologies but never used them professionally:FrontendHTML, CSS(Sass), JS(React), Css Framework(Bootstrap, Materialize CSS, Tailwind CSS)NLP/NLUPOS tagging, Dependency parsing, NER tagging, TokenizationDeep LearningDeep Neural Networks, Convolution Neural Network, Recurrent Neural NetworkMachine LearningSVM, Naive Bayes, Decision Tree, Random Forest, Nearest Neighbor, LDA, K-Mean Clustering, Linear and Logistic RegressionEmbeddingWord2Vec, GloVe, FastText, Doc2Vec, TF-IDFLibrariesKeras, Sklearn, Gensim, SpaCy, NLTK, Matplotlib, transformers(hugging face), DeepPavlov