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FOSSMeet'26 Distilling a 1.5B Code Reviewer That Rivals LLMs An Iterative SFT+DPO Pipeline on OpenShift AIAbstract Large Language Models can review code, but deploying a 70B model behind every pull request is neither practical nor cost-effective. What if a 1.5B-parameter Small Language Model could deliver reviewer-quality comments on Go, Python, and Kubernetes diffs — running on a single GPU at inference time? more
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Enterprise AI in Production From LLM to SLM: Enterprise Fine-Tuning That Keeps Open Models Improving in ProdOpen Models That Keep Getting Better: A Self-Improving Distillation Pipeline on OpenShift AI more
Submission type: Live demos (15 mins)
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Open weights, real stakes From LLM to SLM: Enterprise Fine-Tuning That Keeps Open Models Improving in ProdOpen Models That Keep Getting Better: A Self-Improving Distillation Pipeline on Kubeflow ecosystem more
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Sridhar Pillai
@sri_1030
Sridhar Pillai
@sri_1030
I am an Information Technology student focused on cloud-native AI, Kubernetes, Kubeflow, KubeRay, and distributed systems. I work with tools such as Red Hat Ope
- Joined Apr 2026
- linkedin.com/in/sridharpillai