Ravi Appala
Cloud & Ai Ml - Managing Delivery Architect at Capgemini
Based in Cumming, United States
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Seniority
Other
Department
Other
Location
Cumming
Industry
IT Services and IT Consulting
Company size
332K
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Background
About Ravi Appala
As a seasoned Cloud and AI/ML Architect with over a decade of hands-on experience, I specialize in driving digital transformation through innovative cloud solutions and advanced AI/ML technologies. My expertise spans across various industries, where I've led large-scale projects focused on application modernization, data engineering, and automation, consistently delivering measurable business outcomes. In my career, I've designed and implemented scalable AI/ML solutions that leverage cutting-edge technologies such as Retrieval-Augmented Generation (RAG) and vector embeddings. I have extensive experience in optimizing performance through DevSecOps practices and creating robust data lake architectures that enable real-time processing and analytics. My deep understanding of AWS and Azure, combined with my proficiency in cloud architecture and data frameworks, allows me to enhance system performance and drive innovation. Key Highlights: • Led digital transformation initiatives, modernizing legacy systems and integrating AI/ML capabilities to streamline business processes and enhance functionality. • Expertise in cloud architecture, data engineering, and application modernization, with a focus on creating scalable, efficient, and secure systems. • Proven track record of optimizing cloud infrastructures for cost efficiency, scalability, and performance, particularly in hybrid environments combining AWS services with open-source models. • Developed and implemented advanced AI/ML models, including Generative AI and vector embeddings, to improve search accuracy and business decision-making. • Proficient in managing end-to-end project delivery, ensuring successful outcomes through effective leadership, collaboration, and communication. I have a deep technical skill set, including proficiency in Python, Java, TypeScript/JavaScript, and tools like SageMaker, KubeFlow, and Langchain. My experience with Infrastructure as Code (Terraform, AWS CDK) and DevOps tools (Jenkins, ArgoCD) allows me to seamlessly integrate and automate processes across enterprise environments. Additionally, I bring expertise in security and compliance, with a strong background in tools like Palo Alto, Prisma Cloud, and SonarQube. Throughout my career, I've been recognized for my ability to lead teams and deliver complex projects on time and within budget. My work has been instrumental in helping organizations transition to cloud-based infrastructures, implement AI-driven insights, and achieve operational excellence.
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