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BugVanquisher/README.md

๐Ÿ‘‹ Hi, I'm Vincent (BugVanquisher)

Website LinkedIn GitHub

Systems Architect | Safe GenAI & LLM Infrastructure | Scaling Missionโ€‘Critical Systems


๐Ÿš€ About Me

  • I build ML/GenAI infrastructure that reliably serves billions of tokens per day.
  • Focused on GenAI safety, scalable serving, orchestration, observability, quota & traffic management.
  • Strong believer in idempotent design, high availability, and disciplined engineering communication.
  • I share my work through open-source projects, blog posts, and interactive demos.

โญ Featured Projects

Project Description Status
Aether Safe GenAI platform integrating Atlas, Sentinel, Strategos, Hyperion, and MonitorX. End-to-end inference with safety supervision, orchestration, traffic governance, and observability. ๐Ÿš€ Active
Sentinel GenAI safety supervision system with tiered analysis (heuristics โ†’ ML โ†’ LLM). PII detection/redaction, prompt injection defense, toxicity filtering. ๐Ÿš€ Active
Atlas API gateway for LLM inference with quota management, rate limiting, priority traffic shaping, and safety compute budgeting. ๐Ÿš€ Active
Strategos Durable agent orchestration engine with event-sourced workflows, memory tiers, and MCP tool integration. ๐Ÿงช Incubation
Hyperion Scalable ML inference platform with HA patterns, autoscaling, and Prometheus/Grafana observability. ๐Ÿšง Active
MonitorX ML/AI observability platform with zero-code monitoring, intelligent alerting, and drift detection. ๐Ÿšง Active
Awesome-LLM-Infra Curated guidebook covering the LLM lifecycle โ€” pre-training, fine-tuning, inference, optimization, monitoring. ๐Ÿ“š Growing

๐Ÿ›  Current Focus

  • GenAI Safety โ€” building production-grade safety supervision with tiered analysis, PII protection, and prompt injection defense.
  • LLM Infrastructure โ€” scaling inference with quota-tiered delivery, HA routing, and safety compute budgeting.
  • Agent Orchestration โ€” durable workflows and tool-call governance.
  • Observability โ€” metrics, logs, traces, dashboards for real-time monitoring of ML systems.
  • Open Source โ€” sharing practical implementations through Aether and related projects.
  • Writing โ€” technical blogs at vincentli.dev/blog.

๐Ÿงช Live Demos


๐Ÿ“š Writing & Talks


๐Ÿ“– User Manual

I maintain a USER_MANUAL to share how I work, communicate, and lead. Inside you'll find:

  • Collaboration preferences
  • Technical & non-technical principles
  • Quotes that guide my engineering philosophy

๐Ÿค Let's Connect

  • ๐ŸŒ Website: vincentli.dev
  • ๐Ÿ’ผ LinkedIn: My LinkedIn
  • ๐Ÿ™ GitHub: BugVanquisher
  • โœ‰๏ธ Reach out if you'd like to collaborate, discuss LLM infra, or contribute to my projects.

Topics: GenAI Safety ยท LLM Infrastructure ยท ML Observability ยท Reliability ยท API Gateways

License: Apache 2.0

Pinned Loading

  1. Atlas Atlas Public

    Traffic Governance & Resource Allocator for LLM Inference

    Python

  2. awesome-llm-infra awesome-llm-infra Public

    A curated list and mini-guidebook on the infrastructure of Large Language Models (LLMs). It covers the full lifecycle โ€” Pre-training, Post-training, Inference, Optimization, Monitoring โ€” with referโ€ฆ

    1

  3. Hyperion Hyperion Public

    A Scalable, Reliable, and Observable ML Inference Platform (derived from mini-llm-platform)

    Python

  4. mini-llm-platform mini-llm-platform Public

    A lightweight LLM platform & infra demo for learning and experimentation

    Python

  5. FairTune FairTune Public

    Endโ€‘toโ€‘End LLM Fineโ€‘Tuning + Quality & Fairness Lab

    Python

  6. vllm-project/vllm vllm-project/vllm Public

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python 82k 17.7k