Ruiang Li

RL

Looking for a job

Ruiang Li

@ruiangli

Software engineer building AI agents and data systems, including a governed Text-to-SQL pipeline with 93.8% execution accuracy.

I built GenBI, a governed Text-to-SQL agent that turns natural-language questions into DuckDB SQL and Plotly charts. Across a 32-query benchmark, it achieved 93.8% execution accuracy at 80.6 ms p95 latency.

For GenBI, I engineered a ChromaDB retrieval system and a YAML semantic layer, then added SQLGlot guardrails for read-only execution, catalog validation, and row-level security. A self-healing execution loop and a 69-test Pytest suite support the system.

I also developed a zero-backend AI assistant and portfolio at ryandev.site, running a quantized Qwen3.5-2B model in the browser with WebGPU and a WebAssembly fallback. A dedicated web worker handles model loading and streaming so the React interface stays non-blocking.

For MSARR Technology, I built and deployed a responsive product and specification platform for microwave chambers and phased-array antenna test systems. I refactored its React application into route-driven views and added accessibility, SEO metadata, and conversion tracking.

Experience

Work history, roles, and key accomplishments

MT

Planar Near-Field RF Web Platform

MSARR Technology

Built and deployed a responsive multi-page B2B product and specification web platform for MSARR Technology Inc. showcasing microwave anechoic chambers and planar near-field phased-array antenna test systems. Refactored a 500-line monolithic component into modular, route-driven React 19 views and improved accessibility and SEO.

React 19 JavaScript React Router V7 Vite HTML5 CSS WCAG SEO Google Analytics

GE

Software Engineer

Architected a 5-node LangGraph Text-to-SQL agent translating natural language into governed DuckDB SQL and Plotly charts, raising Execution Accuracy from 28.1% to 93.8% across a 32-query benchmark at 80.6 ms p95 latency. Engineered a Tri-Partite RAG engine and built a declarative YAML semantic layer with BFS shortest-path join resolver.

Python LangGraph fastAPI DuckDB SQLGlot ChromaDB RAG YAML Pydantic Streamlit Pytest GitHub Actions

RY

Client-Side WebGPU AI Assistant

ryandev.site

Developed a zero-backend, privacy-preserving AI web app executing a 4-bit quantized Qwen3.5-2B LLM 100% in-browser via Transformers.js, ONNX Runtime Web, and WebGPU with automatic WebAssembly fallback. Offloaded model loading and streaming into a Dedicated Web Worker and implemented a stateful streaming reasoning-token filter.

TypeScript React 19 WebGPU ONNX Runtime Transformers.Js WebWorkers WebAssembly API Caching Vitest Oxlint

Education

Degrees, certifications, and relevant coursework

MU

McGill University

Bachelor of Science, Computer Science

Bachelor of Science in Computer Science from McGill University, with relevant coursework in algorithms, data structures, database systems, software engineering, artificial intelligence, and machine learning.

Tech stack

Software and tools used professionally

Availability

Looking for a job

Location

Canada

Authorized to work in

Website

Portfolio

Salary expectations

40k+ CAD

Social media

Job categories

Software Engineer

Skills

AI Agents RAG Text To SQL Data Systems Full Stack Web Development Semantic layer SQL Safety Row level security (RLS)Vector Search Automated Evaluation Python TypeScript JavaScript SQL DuckDB

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