Ygrowly

YUGUANG LIU · AI APPLICATION DEVELOPER · CLASS OF 2027

I bring AI into real workflows—and engineer the system around it.

Focused on agent engineering and Python backends: trustworthy data, controlled execution, provable results. I led runtime governance and the eval loop for EnergyOps Agent during my internship, and built RuleArena to turn rule-change verification into release gates — what code can guarantee deterministically stays out of the model.

Explore Selected Systems ↓ Read Latest Writing →
  • University of South China · Data Science
  • Class of 2027
  • Internship through graduation
  • Open to opportunities
Recent work
  • Kingsoft EnergyOps
  • DataSphere
  • RuleArena
  • PayTrace
ygrowly — terminal
$whoami
Yuguang Liu / YgrowlyAI Application Developer · Data Systems
$ls systems/
energyops-agentai-bi-platformrulearenapaytrace [lab]
$help
projects experience writing github contact
$type help, projects, or contact

01 SELECTED SYSTEMS

RUNNING · VERIFIED

Not feature collections, but systems that can be operated and verified.

01

Enterprise Agent System · 2026

EnergyOps Agent From campus meter readings to trusted ledgers and governed agent operations.

A campus energy operations platform: raw cumulative readings from hundreds of meters become three trustworthy ledgers — usage, anomalies, and settlement — with a permission- and confirmation-bound conversational agent inside WPS Comate.

system / 01 Enterprise Agent System · 2026
Cumulative readings Quality states Interval usage Layered aggregation Diagnosis Alert loop Agent calls
Eval
replay eval · task completion ≈ +12pt
Security
all internal privilege cases blocked
Perf
core API P95 ≈ −86% (fixed query set)
Ops
manual backfills ≈ −70% · scheduler 99%+
Pipeline
raw → interval → hourly → daily

Python · FastAPI · PostgreSQL · MCP · WPS Comate · pytest

View system case →

02

Enterprise AI Data Platform · 2025–2026

DataSphere AI BI Natural-language analytics with sources, definitions, and verifiable results.

An AI data-analysis and collaboration platform for teams without dedicated data staff: ask in natural language, and results bind evidence and metric definitions before settling into tables, reports, and dashboards.

system / 02 Enterprise AI Data Platform · 2025–2026
Intent routing Schema retrieval Semantic parse SQL generation Safety checks Evidence binding Charts & reports
Eval
end-to-end success ≈ +13pt (cross-industry set)
Recall
schema recall ≈ +14pt (fixed set)
Safety
all adversarial requests blocked · ~3% false blocks
Cost
analysis context tokens ≈ −80%
Trust
charts bind call_id + fingerprint + hash

Python · FastAPI · PostgreSQL · DuckDB · Parquet · R2 · Univer · MCP

View system case →

03

Personal Project · Independent Build

RuleArena Turning rule-change verification into release gates.

An adversarial verification platform for e-commerce rule changes: natural-language rules compile into human-confirmed executable contracts, a governed agent searches for high-risk action sequences, a clean environment replays them over real HTTP, and a deterministic oracle adjudicates — distilling minimal, reproducible counterexamples.

system / 03 Personal Project · Independent Build
Rule change RuleSpec contract Human confirm Adversarial search Sandbox replay Oracle verdict Minimal counterexample Release gate
Eval Set
design · 24 cases, 16 dev + 8 hidden (isolated)
Mechanism
measured · 0 false positives · 0 ground-truth leaks · 3/3 same-version replays
Gate
counterexample → pytest regression → release gate

FastAPI · PostgreSQL · Redis · Explicit FSM · Delta Debugging · pytest

View system case →

04 · A SYSTEM ECHOES

PLAYBACK

System Echoes

Verifiable evidence left by real systems, not adjectives.

Cumulative readings pass seven quality states before entering aggregation — unconfirmable intervals keep their raw facts instead of unsupported estimates.

EnergyOps Agent · trusted data foundation

Dozens of MCP tools consolidate into six capability bundles with R0/R1/R2 risk tiers and hook-chain checks — no overstepping, confirmation for high-risk actions.

EnergyOps Agent · runtime governance

A SQL query executing ≠ the business answer being right: ambiguous metrics must be clarified, and charts bind call_id + query_fingerprint + result_hash.

DataSphere · evidence contract

Replay evals and a fixed query set drive reliability: task completion, API P95, and context overhead all improved by double digits.

EnergyOps Agent · eval loop

The agent never touches ground truth: candidate risk becomes a confirmed bug only after clean-environment replay and an oracle violation.

RuleArena · anti self-proof

Deterministic code computes losses and anomalies; the model only organizes the investigation. Every claim binds evidence — unsupported attribution is blocked.

PayTrace · Deterministic Core

02 EXPERIENCE

2025 → NOW

Connecting data, backend systems, and AI inside real projects.

Kingsoft

AI Development Intern · EnergyOps Agent

Agent runtime governance, trusted data pipelines, and the eval loop

Shenzhen Huize Zhiyuan

AI Application Development Intern · DataSphere

Semantic layer, domain routing, query safety, and evidence binding

Chengdu Qidian Tuojie

Full-stack Intern · Ovanta

Content system, payment pipeline, and multi-site delivery

LAB & OPEN SOURCE

Live

Ovanta

Self-service platform for visas and overseas identity

 Open Source

PayTrace

Payment anomaly diagnosis agent · simulated data and fault injection

03 WRITING

UPDATING

Notes on how systems are designed, verified, and corrected.

Blog posts are being organized — browse Notes →

Notes

Notes are being organized — meanwhile, browse Blog →

04 · B EXPLORE BEYOND

BROWSE

Explore Beyond This Page

Four directions to keep browsing.

01

Things I Built

Full cases and evidence for EnergyOps, DataSphere, RuleArena, and PayTrace.

 02

Writing Along the Way

How systems are designed, verified, and corrected — blog and notes.

 03

Experiments in Flight

Internships, the lab, and open-source practice over time.

 04

About Me

Education, stack, and how I work — plus ways to reach me.

05 PROFILE

PUBLIC RECORD

Education, stack, and how I work.

Education
University of South China · Data Science and Big Data · 2027
Focus
AI Application / Agent Backend (Python)
Backend
Python · FastAPI · PostgreSQL · Redis · DuckDB
Agent Engineering
MCP · Hook-chain governance · Eval · Trace · Observability

What code can guarantee deterministically stays out of the model.

More about me →

06 CONTACT

ONLINE · OPEN

Let’s talk systems, agents, and what comes next.

I’m looking for 2027 new-grad opportunities in AI application and agent backend engineering (Python), and I can start early and keep interning through graduation — always open to conversations about agents, data systems, and open source.