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AI Platforms + Scale-ups
Reusable AI foundations with fast vertical wins.
Six-layer GenAI platform: ingestion → embeddings → retrieval → generation, application frameworks, and domain apps.
Multi-tenant RAG, eval harnesses, and observability ensure effectiveness and trust at scale.
What I build
- RAG cores: ingestion → embedding → retrieval → generation
- LLMOps: eval harnesses, prompt/data versioning, offline/online metrics
- Inference at scale: autoscaling, caching, adapter routing
- Observability & quality: traces, guardrails, feedback loops
- Tenancy & quotas: API gateways, authz, rate-limits
WeaviateFastAPI
LangChainvLLM
Representative wins
- Shipped multi-tenant RAG with doc analytics + eval loop
- Inference cost reduced 30–40% via caching and routing
- Improved trust with hallucination evals + red-team tests