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Senior Developer | AI Engineer | Full-Stack Developer
whoami
Name: Wangzhang (Steve) Wu
Role: Senior Developer @ SequoiaDB Ltd.
Location: Toronto, Ontario, Canada
Education: B.Sc. Computer Science (AI Focus) & Mathematics, University of Toronto
GPA: 3.95 / Dean's List Scholar (2020-2024)
# AI researcher and engineer specializing in vector databases, NLP, and computer vision.
# Building the future of AI-native document creation with DocMind.
ls ~/projects --featured
DocMind [AI-Native Workspace - Pre-seed]
The "Cursor for writing" - AI-native platform revolutionizing professional content creation
▸ AI-Native Foundation: Every feature built around AI, not retrofitted like Notion
▸ Workspace Intelligence: Process 20M+ row CSVs + 100+ PDFs simultaneously
▸ Cursor-Inspired Features: Autocomplete, select-and-edit, multi-cursor AI across workspace
▸ Live Analytics: Data-to-visualization, inline SQL/pandas, auto-refreshing insights
▸ 5-Minute Miracles: Tasks that take teams days, completed in minutes
▸ 10x Productivity Gains proven in production with enterprise users
Tech: AI/ML, NLP, Vector Databases, Real-time Processing, Collaborative Editing
Stage: Pre-seed • Sector: Software/Technology • Users: Financial analysts, researchers, consultants
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
VoiceTrans
2025
• Real-time voice translation application
• Ultra-low latency with Whisper & LLM
• Multi-language support with VAD
• Terminal UI with live performance metrics
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
Read with AI
2023
• Intelligent PDF reading application
• AI-powered Q&A with context awareness
• Real-time PDF translation (30+ languages)
• RAG framework with vector embeddings
Study Abroad GPT
2023 - 2024
• ML-based predictive model
• LLM integration
• Grad program consultation
• Real-time interactions
Black-2-White Analysis Tool
2023 - 2024
• Automated codebase analysis with LLM
• Performance & security optimization
• Parallel processing with ThreadPoolExecutor
• Vector store integration for file search
BuyBuyLow Marketplace
2023 - 2024
• Full-stack classified ads platform
• Flask backend with PostgreSQL
• User messaging & image upload system
• Kijiji-inspired marketplace design
SequoiaDB-aidoc
2022 - Present
• AI-native document database with distributed architecture
• PostgreSQL-extended design with C-implemented BSON operations
• Rust-based high-performance protocol gateway
• Built-in vector search and geospatial queries for AI applications
cat ~/skills.json | jq '.technical'
▸ Languages:
Python, Java, JavaScript, C, Rust, Go
▸ AI/ML:
NLP, Computer Vision, Deep Learning, Vector Databases, RAG, AI Agents, Multi-Agent Systems
▸ Frameworks:
Spring Boot, Vue.js, Flask, React, LangChain, LangGraph, LlamaIndex, Hugging Face
▸ Databases:
MySQL, Redis, Vector DBs, MongoDB
▸ Data Processing:
Real-time Streaming, Apache Kafka, Apache Spark, ETL Pipelines
▸ Cloud & Infrastructure:
AWS, Docker, Kubernetes, PostgreSQL, Distributed Systems
▸ Development Tools:
Git, CI/CD, Vite, REST APIs, GraphQL
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
[2024-Present] Senior Developer @ SequoiaDB Ltd.
└─ Vector database technologies, AI model development, RAG framework
[2022-2024] Full-Stack Developer (Co-op) @ SequoiaDB Ltd.
└─ AI-based database, Sequoia DP platform, authentication/access control
[2021-2022] Backend Developer (Co-op) @ Frontier College
└─ Hybrid app development, SpringBoot API design
contact --info
▸ LinkedIn: linkedin.com/in/wangzhang-steve-wu-50344b1ab
▸ GitHub: github.com/wuwangzhang1216
▸ Location: Toronto, ON, Canada
▸ Connections: 500+
# Open to collaborations on AI/ML projects and innovative solutions