AI AGENT SYSTEMS · FULL STACK · SINGAPORE

Wang Rong 汪荣

Wang Rong

LLM Agent Systems Engineer / Applied AI Engineer

Six years of full-stack engineering experience and currently pursuing an MSc in Applied Artificial Intelligence at NTU Singapore. I turn model capability into products: reliable agents, enterprise delivery, and deployable end-to-end systems.

Open to AI Agent, AI infrastructure, and full-stack AI roles

ReliabilityAgent pipelines, durable state, and offline evaluation
DeliveryDelivered products for 20+ enterprise clients
End to endSix years across product, frontend, backend, and deployment

SELECTED WORK

From model capability to dependable products

Selected work spans reliable agents, research productivity, and multimodal AI, with verifiable outcomes beyond demos.

02OPEN SOURCE

autoforjob

A job-search productivity tool combining browser automation and AI workflows, built around fault tolerance, recovery, and reliable execution.

03LIVE PRODUCT

Focus Quest

A game-inspired productivity product that turns focus habits into dungeon progress, with synced tasks, progress, and achievements.

04SPEECH AI

Voice Story

An emotional voice-cloning pipeline based on CosyVoice 3, using four-dimensional evaluation to identify semantic leakage and long-form failure boundaries.

05MULTIMODAL

Qwen-VL Emotion Reasoning

Uses structured observation, evidence, and conclusion traces to turn image-emotion classification into explainable reasoning.

An orange cat vocalizing
06COMPUTER VISION

Cats 4 Emotions Dataset

A self-collected, curated, and annotated image dataset for pet-emotion classification and interpretable computer-vision labels.

07AI GAME EXPERIMENT

FunnyGames · Blind Soup

A game playground for curious minds. Drag people, scenes, and anomalies into a turtle-soup mystery, then compare how different models reason through it.

EXPERIENCE

Engineering depth comes from sustained delivery

2021—2025

iFLYTEK

Senior Software Engineer / B2B Lead, iFLYTEK Docs

Led end-to-end development, delivery, and commercial rollout for an online Office product serving 20+ enterprise clients. Built an enterprise-knowledge RAG system across retrieval, prompting, evaluation, and deployment.

2018—2021

Guangzhou Zhuowang Digital · China Mobile subsidiary

Software Engineer / Team Lead

Led delivery of high-concurrency digital-marketing systems, owning service architecture, frontend framework analysis, engineering standards, and team collaboration.

CAPABILITIES

I connect model capability with working engineering systems.

01

Agent Systems

Tool use, MCP, ReAct, memory, workflow orchestration, LangGraph, Google ADK

02

RAG & Evaluation

Embedding, reranking, hybrid search, offline evaluation, and bad-case analysis

03

Full-stack Engineering

Python, TypeScript, Node.js, web applications, databases, Linux, Docker

04

Model Adaptation

PyTorch, Transformers, SFT, LoRA, multimodal inference, prompt engineering

EDUCATION

Education

2025—2026

Nanyang Technological University

MSc, Applied Artificial Intelligence

LET'S BUILD

Looking for AI products and systems worth building for the long term.

Based in Singapore, interested in AI Agent systems, AI infrastructure, applied LLMs, and full-stack AI.