Autonomous Evaluation & High-Throughput Inference Infrastructure
n24q02m Lab investigates low-latency multimodal model runtimes, contract-driven evaluation harnesses, and deterministic retrieval architectures for mission-critical developer systems.
Focus Areas
Inference Optimization
Hardware-conscious model compilation and runtime tuning using ONNX Runtime, quantization (FP8, INT8), and CPU/GPU execution provider benchmarking.
Contract-Driven Evaluation
Deterministic regression verification harnesses for embeddings and structured LLM outputs, ensuring strict schema invariance across model updates.
Event-Driven Streaming
Sub-millisecond processing pipelines with Kafka and distributed vector indexes, ensuring zero backpressure and strict monotonic offsets.
Open Source & Infrastructure
Public OSS Contributions
Active code, documentation, and architectural contributions across distributed graph systems, vector databases, and developer runtime environments.
Cloud-Native Edge Deployments
Lightweight serverless middleware utilizing Cloudflare Workers, R2 object storage, and globally distributed edge KV backends.
Inquiries & Contact
For technical inquiries, academic collaborations, or startup ecosystem programs: