ROLE // Agent Engineer▍

AI Engineer building Agent and LLM products.

Production CV/ML background — ex-Tencent YouTu, PhD in ML.

View work GitHub LinkedIn

2,000+

GitHub stars

1,400+

product users

CVPR · IEEE

published research

ICCV LVIS

challenge champion

Profile · 00 Available

Tianliang Zhang · Jay

AI Engineer · Agent & LLM

LOCATION Canberra, Australia GEO 35.28°S 149.13°E PhD Signal & Info Processing

01What I build

Selected AI tools and LLM products, shipped from idea to real users.

★ Agent tooling

Skills Manager

Open-source desktop app for managing AI-agent skills across 15+ coding tools.

Built a cross-tool skill manager for Cursor, Claude Code, Codex, Copilot and other AI coding environments.
Reached 2,000+ GitHub stars and 180+ forks as an open-source developer tool.
Shipped a Rust/Tauri core with a React interface for local-first skill organization and sync.

RustTauriReactTypeScript

Source Demo

open-source

2,000+

GitHub stars · 180+ forks

15+ coding agents · Cursor · Claude Code · Codex · Copilot

LLM product 02

EasyIELTS

AI IELTS speaking and writing coach with scoring, feedback and 24/7 practice.

Built an AI coach for IELTS speaking and writing with rubric-based feedback.
Delivered fluency, vocabulary, grammar and pronunciation scoring with sentence-level suggestions.
Served 1,400+ users with 1,090+ questions and 1,300+ audio examples.

·1,400+ users·Live

Next.jsLLMSpeechSupabase

Live

Generative AI SaaS 03

Sticker It

Generative-AI SaaS that turns photos into custom stickers.

Launched a paid AI sticker generator with image upload, generation, checkout and delivery flows.
Integrated OpenAI, Stripe, S3, email, Sentry and Docker for a production SaaS stack.
Designed the end-to-end user journey from photo input to downloadable sticker output.

·Paid SaaS·Stripe

Next.jsOpenAIStripeAWS S3

Live

LLM engineering 04

ACT Learner

LLM-powered road-rules coach with cached generation and multi-provider fallback.

Built a bilingual ACT road-rules learning coach with explanations, scoring and mistake review.
Reduced live-LLM dependency with prompt-hash seeding, cached generations and precomputed content.
Implemented OpenAI/Gemini fallback for resilient production-grade answer generation.

·Live·Multi-provider

Next.jsOpenAI/GeminiPrompt Eng

Live

02Engineering foundation

Production ML/CV systems before the agent and LLM products.

2025 — Now

LexisNexis Risk Solutions

Computer Vision Engineer

End-to-end identity verification — document preprocessing and forgery detection; re-architected ONNX inference to sub-second latency at production-grade accuracy.

ONNXSub-secondProduction

2023 — 2024

PICEA (3irobotix)

Senior Algorithm Engineer

Robotics perception — pose estimation, detection and 3D ground coordinates; edge-deployed on RK3566, lifting YOLO inference from 6 to 30 FPS.

Edge / RK35666→30 FPSROS

2020 — 2023

Tencent · YouTu Lab

Senior Researcher

Industrial defect detection — 16+ CV algorithms; high-recall detection deployed across 48 inspection machines processing 24K cells/day (~188GB).

48 machines24K cells/dayPyTorch

2021

ICCV 2021 · LVIS Challenge

Long-tail Instance Segmentation — Champion

Swin Transformer + CBNetV2 backbones with a novel Seesaw Loss and augmentation; Rank 1 and Best Innovation Award.

ChampionBest InnovationSwin

03Research record

Earlier computer-vision research — robust detection, large-scale recognition and benchmark-winning systems. The rigor behind the engineering I do today.

CVPR 2020 · co-first author