Shubham Geete
Devops Engineer @Fulcrum Digital Inc
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WORK HISTORY
Devops Engineer @Fulcrum Digital Inc
Pune, IN
AI Solution Design and Deployment: Design, develop, and deploy end-to-end AI solutions, focusing on agent deployment in key sectors such as automotive, insurance, and education.* MLOps and CI/CD Management: Implement and manage MLOps and CI/CD pipelines to automate the machine learning lifecycle, ensuring efficient and reliable model deployment and updates.* Cloud Infrastructure and Containerization: Utilize cloud platforms (e.g, GCP, Microsoft Azure) and containerization technologies (e.g, Docker, Kubernetes) to build, deploy, and scale robust AI applications.* Generative AI Implementation: Deploy and integrate Generative AI models into products and services to enhance capabilities and create new functionalities.* Infrastructure as Code (IaC): Employ IaC principles and tools to provision and manage infrastructure, ensuring consistency, repeatability, and a streamlined deployment process.* Collaboration and Version Control: Collaborate with cross-functional teams and maintain code integrity using version control systems like Git to ensure smooth and coordinated development efforts.* AI Ops Integration: Integrate AI Ops practices to monitor and manage the performance of AI systems in production, ensuring stability, security, and optimal operation.
EDUCATION
Acropolis Institute of Technology and Research, Manglia Chouraha, Indore
Bachelor of Technology - BTech
NICMAR University
Management
ABOUT SHUBHAM GEETE
Turning AI Ideas into Scalable Reality — One Deployment at a Time\" AI DevOps Engineer | CI/CD | Cloud-Native | Agentic AI | Deployment & Kubernetes | 3+ years driving intelligent automation & scalable AI agents deploymentsAs an AI DevOps Engineer with 3+ years of hands-on experience, I specialize in architecting, deploying, and optimizing intelligent systems at scale. My expertise lies at the intersection of AI Ops, cloud computing, and infrastructure automation—transforming AI prototypes into production-grade solutions that are reliable, resilient, and cloud-native. What I bring to the table:* Proven experience in CI/CD pipelines, enabling faster and safer delivery of ML agentic applications.* Expertise in GCP, Azure Cloud, Docker and Kubernetes for deploying scalable microservices and AI models.* Skilled in Infrastructure as Code (IaC) to ensure repeatable, auditable environments.* Strong understanding of AI Cloud Management and Agentic AI systems for real-world automation.* Passion for AI Ops—bridging the gap between data science and DevOps. I thrive in collaborative, fast-paced environments where innovation meets execution. Whether it\'s deploying a machine learning pipeline, containerizing a model, or optimizing cloud costs—I\'m all in. Let’s connect if you’re working on AI/ML products and looking to scale your impact with rock-solid engineering!
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