a b testing , Deep Learning, Deployment serving at scale, experiment tracking, user modelling, core ML techniques, modern MLOps practices, ranking recommendation systems, Applied NLP, alerting, supervised learning, Scalable data pipelines, Continuous Improvement, experimentation, model registries, model lifecycle management, feature engineering, CI CD for ML, Monitoring

Sql, Spring Framework, Rabbitmq, Java, Maven, Grafana, Cloudformation, Nosql, Gcp, Terraform, Git, Elk Stack, Spring Boot, AWS SQS, Gradle, Spring Cloud, Distributed Systems, AWS, Prometheus, Kubernetes, Azure, Docker, Apache Kafka, RESTful API design, caching strategies, microservices architecture

Rest Apis, Typescript, Nodejs, Service Oriented Architecture, Spring Boot, Javascript, Bitbucket, Logging, Java, Microservices, Devops, Jira, Expressjs, AWS, MySQL, AWS Aurora, MongoDB, Monitoring, Messaging, CI CD, Caching, Alerting

AWS, Java, Python, Scala, AI-assisted SDLC practices, cloud-native distributed systems architecture, AI tools

containerization , PostgreSQL, API design, System Design, Distributed Systems, AWS, MySQL, Kubernetes, Gcp, Docker, Pci Dss, MongoDB, security practices, SOC 2, cloud platforms, event-driven systems, performance optimization, microservices architecture, NoSQL databases

react.js , Docker, AWS, Node.js, Microservices, Mern Stack, Azure, Gcp, Express.Js, MongoDB, Rest Apis, container orchestration

Search and Headless APIs., Salesforce commerce cloud, eCommerce platforms, OMS, Headless CMS

MLops, Gcp, Iam, Siem, Azure, Python, AWS, agentic AI, SOAR, vector databases, CI CD, LLM APIs, RAG

Agile, System Design, Python, Application Resiliency, CI/CD