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Ashvini
Kumar Jindal
Staff ML Engineer
LinkedIn
Ashvini is an accomplished artificial intelligence researcher and engineer who has pioneered breakthrough innovations across the machine learning landscape for over a decade. At LinkedIn, he transformed the company's AI capabilities by spearheading Gen-AI modeling initiatives and architecting EON, LinkedIn's domain adaptation LLM, while making pivotal contributions to key products including LinkedIn Hiring Assistant and Focused Inbox. A recognized force in the open-source AI community, his innovations include developing the state-of-the-art Llama-3.1-Storm-8B model, which is available on multiple LLM hosting platforms including Microsoft Azure. He has won multiple LLM competitions, including victory at the prestigious NeurIPS LLM Efficiency Challenge 2023. His research contributions span top-tier conferences including ICLR, KDD, ACL, and CIKM, while his technical mastery extends across the full spectrum of AI systems—from large language models and recommendation engines to conversational AI and content moderation systems. Throughout his career, Ashvini has consistently pushed the boundaries of what's possible in machine learning, delivering impactful solutions that shape how AI systems are built and deployed at scale.
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29 April 2025 14:30 - 15:00
Panel discussion: Building LLM alignment pipelines - from fine-tuning to real user feedback loops
Fine-tuning is just the beginning. As LLMs move from labs into real-world applications, achieving true alignment requires continuous learning from user interactions. In this panel, industry leaders from Google DeepMind, Walmart, Meta, and Feedback Intelligence will explore how to design end-to-end alignment pipelines - combining fine-tuning, reinforcement learning, and user feedback loops - to build safer, more useful AI systems at scale.