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1. Ops-Incident-Core Ops-Incident-Core Public

   Azure-first IncidentOps backend for ingesting engineering evidence, indexing it with PostgreSQL/pgvector, and powering cited search, investigation, workflows, and MCP.

   Python

2. Ops-Incident-Collector Ops-Incident-Collector Public

   Deterministic evidence collection pipeline for IncidentOps that discovers, filters, redacts, normalizes, and syncs source evidence into Core.

   Python

3. audioforge audioforge Public

   Python toolkit for audio ML experiments, including FSD50K/DCASE data prep, log-mel features, CNN training, evaluation, and anomaly/event inference scaffolding.

   Python

4. logsage logsage Public

   QLoRA fine-tuned Qwen2.5 adapter for structured log incident analysis, with AWS GPU training, metrics, reports, and Colab inference.

   Python

5. llm_server llm_server Public

   Streaming LLM inference server with a Python backend, scheduling, KV cache, metrics, load tests, and a React/Vite monitoring UI.

   TypeScript

6. Deep_Learning Deep_Learning Public

   Hands-on machine learning and deep learning workspace with PyTorch, scikit-learn, computer vision notebooks, datasets, and transformer experiments.

   Jupyter Notebook