Kayode Okosi's picture

Kayode Okosi PRO

kayodekosi

AI & ML interests

I work at the intersection of applied research and production LLM systems. My focus is on the patterns that turn impressive demos into reliable, governable products: Grounded generation — citation-aware RAG, confidence refusal, hybrid retrieval, and hallucination control Agent observability — multi-step pipelines with full trajectory logging, critique–recovery loops, and evaluation harnesses Parameter-efficient domain adaptation — QLoRA / PASTA-style workflows that specialise small models for healthcare, finance, legal, manufacturing, and more LLMOps & FinOps — live latency, throughput, cache, and cost metrics that teams actually monitor Security & guardrails — prompt-injection defence, red-team surfaces, and policy-driven access Multi-tenant platforms — quotas, rate limits, audit logs, and shared-backend control planes I build CPU-friendly, open, and inspectable reference implementations (Gradio + HF Spaces) so others can learn the patterns and adapt them. More projects in the pipeline: evaluation gates, continuous red-teaming, adapter routing, and tighter FinOps feedback loops. Currently exploring: production RAG reliability, agent trajectory evaluation, and low-resource domain specialisation.

Recent Activity

updated a model about 23 hours ago
kayodekosi/medical-clinical-decision-support-7b
published a model about 23 hours ago
kayodekosi/medical-clinical-decision-support-7b
updated a model about 23 hours ago
kayodekosi/medical-icd10-coder-7b
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