Hridesh Sharma
Empowering Innovation with AI, Cloud, and Next-Gen Technologies.
Jaipur, India
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I’m an experienced software engineer specializing in AI, cloud-native solutions, and innovative technologies. My expertise includes developing AI-driven applications using Retrieval-Augmented Generation (RAG), AWS, and MLOps practices. I actively mentor learners and professionals, helping them build impactful solutions and effectively harness emerging technologies for growth and innovation.
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Thriving in Open Source: A Beginner’s Guide to Contribution and Impact
Open source can be one of the most rewarding paths for developers, but getting started is often intimidating. This session is designed to help beginners confidently take their first steps and grow into impactful contributors. I’ll share how to identify the right projects, understand contribution workflows, and engage meaningfully with communities. You’ll walk away with practical strategies, lessons from my own journey, and a mindset that will help you thrive long-term in the open source ecosystem, whether you’re writing code, improving documentation, or mentoring others.
Cloud-Native AI Magic: Powering Intelligent Apps with AWS and RAG
Dive into the cutting-edge world of AI and Machine Learning in this interactive session designed for data scientists, AI/ML platform operators, and developers. Discover how cloud-native technologies and Retrieval-Augmented Generation (RAG) can revolutionize intelligent application development.
You'll learn:
- The essentials of Retrieval-Augmented Generation (RAG), integrating retrieval with generative AI for accurate, contextual responses.
- How to leverage AWS services (Amazon Bedrock, AWS Lambda, Amazon S3, Amazon OpenSearch) to build scalable and secure AI applications.
- Practical strategies for optimizing AI and ML workflows using MLOps and AIOps for efficient model management, deployment automation, and monitoring.
Experience a live demonstration of RAG—from document ingestion to dynamic conversational responses—and gain actionable insights to enhance your AI and ML projects with AWS.
Architecting AI Workloads with Cloud-Native System Design Fundamentals
System design is the backbone of successful AI applications. In this session, you’ll learn how to apply essential design principles to make AI workloads thrive on cloud-native platforms like Kubernetes. Through real-world examples, we’ll explore common mistakes and practical strategies to build scalable, reliable, and cost-effective systems. This talk will help developers, DevOps engineers, and architects understand how to bridge the gap between AI innovation and Cloud-Native infrastructure. You’ll leave with clear, actionable best practices you can use in your AI or Cloud projects.
Power BI & AI Summit 2025 – Delhi Edition Sessionize Event Upcoming
Hridesh Sharma
Empowering Innovation with AI, Cloud, and Next-Gen Technologies.
Jaipur, India
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