Projects
Six projects that together form one AI platform, covering data, features, training, evaluation, inference, agents, safety, and observability. Each links to a case study covering the problem, architecture, hard tradeoffs, and metrics labeled honestly as measured, target, or planned.
Inference & Reliability
In progressRouting, caching, rate limiting, and failover across model providers, plus an AI SRE control plane for health, cost, and incident response.
Training & Post-Training
PlannedOrchestrates distributed fine-tuning / post-training jobs with reproducible pipelines, checkpointing, and evaluation gates before promotion.
Agents & Retrieval
PlannedGoverned retrieval and tool use with human approval for risky actions. It helps triage incidents without acting unsafely on its own.
Evaluation & Data
PlannedA closed-loop evaluation and data flywheel with a governed feature store powering ranking and recommendations, with lineage from raw data to features to models.
Trust & Safety
PlannedA multimodal content-understanding pipeline for policy enforcement and moderation with auditable, explainable decisions and human review for edge cases.
Streaming & Real-Time
PlannedReal-time feature computation, scoring, and alerting over event streams, with backpressure handling and replayable pipelines from edge to cloud.