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levizwang/README.md

Hi, I'm Levi Wang πŸ‘‹ β€” AI Evaluation & LLM Infrastructure Engineer

I specialize in AI evaluation, LLM infrastructure, and quality assurance for production-grade systems. Currently focused on end-to-end RAG development, automated evaluation pipelines, and multi-modal model testing to ensure reliable, high-precision AI outcomes.


🧰 Tech Stack

Languages
WakaTime Python SQL Rust C/C++

AI / LLM
RAG RAGAS PyTorch Whisper SLM

Frameworks / Platforms
Haystack Vector DB

Tools
Docker Linux Git


πŸ§ͺ Core Expertise & Projects

  • RAGAS Evaluation Framework Integration β€” integrated automated evaluation across end-to-end RAG systems.
  • Multi-modal AI Testing β€” built visual evaluation datasets and benchmarking workflows for VLMs.
  • Automated Evaluation Pipelines β€” designed modular β€œevals” framework for one-click benchmarking and insights.
  • Speech & Voice AI QA β€” fine-tuned Whisper for ASR optimization and production-grade voice agents.

πŸ“Š Weekly Coding Stats

From: 21 April 2026 - To: 21 May 2026

Total Time: 175 hrs 1 min

Python        66 hrs 11 mins        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   35.49 %
JSON          41 hrs 2 mins         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   22.01 %
Markdown      25 hrs 31 mins        β–ˆβ–ˆβ–ˆβ–’β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   13.69 %
Text          14 hrs 46 mins        β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   07.92 %
Other         11 hrs 26 mins        β–ˆβ–“β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   06.14 %
Bash          8 hrs 20 mins         β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   04.48 %
Jinja2        4 hrs 35 mins         β–“β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   02.47 %
CSV           3 hrs 56 mins         β–“β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   02.11 %
YAML          2 hrs 21 mins         β–’β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.26 %
TOML          2 hrs 10 mins         β–’β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.17 %

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