Rahul Cmv
Advanced Site Reliability Engineer @diconium
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WORK HISTORY
Advanced Site Reliability Engineer @diconium
Stuttgart, DE
At diconium, I’m currently part of the ONE.CRM project, where I manage and monitor over 200 Mulesoft APIs across eAPI, pAPI, and sAPI layers. My responsibilities include configuring vCores, setting up performance alerts, analyzing logs via Anypoint Monitoring, and debugging issues through GitHub-based Mule implementations to ensure seamless integration with Salesforce. I also provide ongoing support for Lead Inbox, handle REP incident resolution, and contribute to REP monitoring to maintain operational stability.Alongside my API work, I collaborate with our AI team to train models like LLaMA, Alpaca, and other Meta models for our on-premise AI product, utilizing Google Colab for experimentation and research. My infrastructure expertise includes AWS, Terraform, and Chef, with a strong focus on containerization using Docker and database technologies like Postgres and HBase. I’m also proficient in CI/CD tools such as Maven, Jenkins, and Git, and use observability platforms like New Relic, Splunk, and Grafana to monitor system performance. Additionally, I independently installed and conducted a POC on WAZUH, an open-source security platform, to evaluate its potential for proactive threat detection and infrastructure protection.
EDUCATION
VENKATADRI INDEPENDENT P U COLLEGE
P.U.E
KISHORA VIDYA BHAVANA
PRIMARY AND HIGH SCHOOL
University Vishweshwaraya College of Engineering
Bachelor of Engineering (B.E.)
SKILLS
ABOUT RAHUL CMV
With over 10 years of hands-on experience in designing, developing, and testing mission-critical applications using Core Java and Java EE, I bring a strong foundation in enterprise-grade software engineering along with a versatile tech stack, DevOps practices, and cross-functional collaboration.* Currently working on the ONE.CRM project, where I manage and monitor over 200 Mulesoft APIs across eAPI, pAPI, and sAPI layers using Anypoint Monitoring. Responsibilities include configuring vCores, setting up performance alerts, analyzing API health and logs, and ensuring seamless integration with Salesforce.* I actively troubleshoot issues by referencing API-specific documentation and debugging code from Mule implementations on GitHub. I also provide Lead Inbox support, manage REP incidents, and lead ongoing REP monitoring.* At diconium, my expertise in Java and cloud services enables our team to build and maintain robust, scalable, and high-performing systems. I focus on leveraging AWS, Terraform, and Chef to enhance infrastructure configuration management — driving high availability and infrastructure as code (IaC) best practices.* Recently collaborated with our AI team on training models like Alpaca, LLaMA, and other Meta models for an on-premise AI-based product. Used Google Colab for research, experimentation, and performance testing during early model evaluation phases.* My technical toolkit includes:Programming & Frameworks: Core Java, Java EE, JavaFX, Java Swings, Spring, REST APIs, OOP, Design Patterns, Threading, Messaging, Data Structures & AlgorithmsDatabases: SQL, PL/SQL, with experience in Postgres, Cassandra, HBase, and VerticaMonitoring & Visualization: Docker, Grafana, Splunk, Dynatrace, TableauCloud & DevOps: Strong hands-on experience with AWS, Terraform, Chef, and CI/CD tools like Jenkins, Maven, Git, and JulesScripting & Automation: Bash, Ruby, HashiCorp Configuration Language (HCL)Testing Tools: JUnit, Cucumber, SeleniumOther Tools: Keycloak, Tomcat, Postman, SoapUI, ADFS* Independently installed and conducted a POC on WAZUH, an open-source security platform, showcasing initiative in evaluating security tooling and threat detection.* Experienced across the Software Development Lifecycle (SDLC) and well-versed in Agile methodologies, I aim to bridge robust backend systems with scalable infrastructure and emerging AI capabilities.
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