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WANGZHANG WU
Senior Developer | AI Engineer | Full-Stack Developer
terminal.chat
# Connected to AI proxy. Use /reset to clear history.
whoami
Name: Wangzhang (Steve) Wu
Role: Senior Developer @ One Information Corporation
Location: Toronto, Ontario, Canada
Education: Honours B.Sc. Computer Science (AI Focus) & Mathematics, University of Toronto
GPA: 3.94 / High Distinction (2019-2024)
# AI researcher and engineer specializing in AI agents, RAG pipelines, and vector databases.
# Building the future of AI-native document creation with doXmind.
ls ~/projects --featured
doXmind [AI-Native Document Platform - Co-founder]
Think. Write. Publish. — "Cursor for Writing" with AI-powered markdown editing
> Rich Markdown Editor: TipTap-based WYSIWYG with mindmap visualization & version history
> AI Chat & Quick Edit: Claude-powered assistance with diff review & autocomplete
> RAG Search: Semantic search across documents using pgvector embeddings
> Knowledge Base: Attach PDF, DOCX, PPTX with AI document analysis
> Multi-Agent System: LangGraph orchestration with web tools & skills system
> Full-Stack: Next.js 15, React 19, FastAPI, PostgreSQL + pgvector
Tech: LangChain, LangGraph, Claude API, OpenAI Embeddings, Gemini API, Framer Motion
Stage: Active Development • Users: Writers, researchers, content creators
→ Visit doxmind.com
OpportunityRadar [Intelligent Opportunity Discovery]
Your intelligent opportunity radar for startups and developers
> Smart Discovery: Aggregates from Kaggle, Devpost, MLH, government grants & more
> Intelligent Matching: Semantic similarity + eligibility rules for personalized scores
> Material Generation: AI-powered READMEs, pitch decks, demo scripts, Q&A predictions
> Pipeline Tracking: Drag-and-drop Kanban from discovery to submission
> Calendar Integration: Google Calendar, Outlook, .ics file exports
> Full-Stack: FastAPI + MongoDB (Beanie), Next.js 14 + Tailwind + Zustand
Tech: OpenAI Embeddings, Playwright Scrapers, TanStack Query, Radix UI, Framer Motion
Platforms: Kaggle, Devpost, MLH, ETHGlobal, Grants.gov, SBIR, Y Combinator RFS
AI Mental Health Platform
2025 - Present
• AI-powered support platform for Canadian psychologists
• Serving political trauma survivors with emotional support
• Health tracking & psychological assessments
• RAG pipelines with vector storage for intelligent conversations
Learn More →
FinGenius AI Accountant
2025
• AI-powered personal finance management
• Smart bill scanning with Gemini API
• Real-time balance tracking & analytics
• SwiftUI/iOS with AI Chat Assistant
→ View Project Details
Smart Jira Assistant
2024
• AI-powered knowledge retrieval agent for 100+ engineers
• Aggregates from Jira, Confluence, and Slack
• Built with LangChain/LangGraph pipeline
• Vector embedding/NLP for intelligent search
Learn More →
AI-ERP System
2023 - Present
• AI-powered enterprise resource planning with predictive analytics
• Microservices architecture with Spring Boot backend & Vue.js frontend
• Advanced procurement & financial management with automated workflows
• RESTful APIs, real-time dashboards, and AI-driven decision support
Learn More →
cat ~/skills.json | jq '.technical'
> Languages:
Python (5+ years), Java, JavaScript/TypeScript, C++, SQL
> AI/ML:
LLMs, RAG Pipelines, Vector Databases (Milvus, Pinecone), Model Serving, Transformer, NLP, Computer Vision
> Frameworks:
FastAPI, LangChain, LangGraph, Spring Boot, Vue.js, React
> Databases:
PostgreSQL, MySQL, MongoDB, Redis
> Middleware:
Kafka, Redis, IBM MQSeries
> DevOps/CI-CD:
Git, GitHub Actions, Docker, Kubernetes, AWS
> Operating Systems:
Linux, RedHat, Ubuntu
ls ~/research
Leveraging Transformer Models for Stock Market Prediction
Published: April 17, 2024 • University of Toronto
> Authors: Wangzhang Wu, Pei Lin, Xiaotong Huang
> Abstract: Novel TCN + Transformer architecture combining temporal convolutional networks with transformer models for financial market prediction
> Key Contributions: BERT-based sentiment analysis of news headlines with temporal dependencies for stock trend forecasting
> Methodology: Hybrid deep learning approach outperforming LSTM and traditional transformer-only models
> Impact: Demonstrates superior accuracy in predicting stock market movements from news content analysis
Tech: BERT, TCN, Transformer Architecture, Financial NLP, Time Series Analysis
history --experience
[Jan 2025-Present] Senior Developer @ One Information Corporation
└─ AI-powered mental health platform for Canadian psychologists
└─ Vector search for distributed document database, RAG pipelines with LLMs
[July 2024-Jan 2025] Senior Developer @ Elinktech Inc.
└─ AI knowledge retrieval agent for 100+ engineers (LangChain/LangGraph)
└─ CI/CD pipelines, Docker/K8s model serving infrastructure
[May 2022-June 2024] Full-Stack Developer (PEY) @ SequoiaDB Toronto Lab
└─ AI-based database features, vector embedding/NLP, Vue.js/Java/Go full-stack
contact --info
> LinkedIn: Message me on LinkedIn →
> GitHub: github.com/wuwangzhang1216
> Location: Toronto, ON, Canada
> Connections: 500+
# Open to collaborations on AI/ML projects and innovative solutions
# Best way to reach me: LinkedIn DM