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Hima Ganga
Yarlagadda
Principal, Data Science & Engineering
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Hima is a data science professional with over a decade of experience turning complex data into actionable insights. Her recent work focuses on building and deploying Generative AI solutions that solve real-world business problems—from process automation to intelligent agent systems. With deep expertise in machine learning, deep learning, NLP, and large language models (LLMs), Hima has led multiple AI projects across industries, translating advanced technology into measurable business value. She is passionate about sharing hands-on lessons from real-world AI implementations and helping teams unlock the full potential of Generative AI through clear communication, demos, and practical use cases. Outside of work, she mentors aspiring data professionals and stays active in the latest AI research and tools.
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12 February 2025 16:30 - 17:00
Panel | Architecting genAI for production: Infrastructure, evaluation & reliability
Getting a GenAI system to run once is easy keeping it reliable, efficient, and cost-effective at scale is another story. In this deeply technical panel, engineering leaders reveal what happens when GenAI systems meet real-world conditions. They’ll unpack infrastructure design, model orchestration, and observability strategies for keeping latency low, costs predictable, and performance consistent even as models evolve and data drifts. Key takeaways: → How to design scalable, fault-tolerant architectures for genAI workloads. → The evaluation and monitoring techniques used by top engineering teams. → Practical ways to handle unstable APIs, model updates, and unpredictable behavior.