Tong Zhou
Senior Backend / Full-Stack Engineer
Specializing in AI-enabled SaaS & cloud-native systems
I design and build production systems that scale in real-world, high-reliability environments.
Skills
Primary focus: AI-enabled SaaS · Backend-heavy systems · Cloud-native architecture
Backend
Databases
Tools
Messaging
Other
Frontend (for product delivery & internal tools)
Projects
LexiDraft: AI Legal Assistant
#01An intelligent contract analysis and drafting platform that uses AI to identify legal risks 10x faster.
I built a professional-grade AI legal co-pilot that streamlines contract reviews. The platform features automated risk identification with severity levels, an AI-powered drafting assistant with 20+ templates, and a RAG-based 'Chat with Document' feature. It reduces initial legal review time by up to 90% while providing actionable repair suggestions for identified clauses.
Key insight: Legal professionals care more about explainability than raw model performance.
My role: Architecture design · Backend ownership · AI integration · Production deployment
EV Charging Management Platform
#02A full-stack EV charging management platform for station operators, supporting real-time monitoring, smart billing, and multi-tenant operations.
I developed Laidian, a full-stack EV charging management platform designed for charge-station operators. The system provides end-to-end capabilities including device onboarding, remote start/stop control, smart billing, real-time monitoring, and tenant-based operations. Built with a React + Spring Cloud microservices architecture, it enables scalable deployment for both single-station and multi-site commercial scenarios.
Key insight: Multi-tenant system design matters more than feature speed in B2B platforms.
My role: Full-stack development · Microservices architecture · Production deployment
TBBid: Bidding Information Crawler
#03A bidding information crawler and analytics system that automates data collection and cleansing for public tenders.
I built TBBid, a data crawling and analytics platform focused on public bidding and procurement information. The system automatically collects tender announcements, performs data cleaning and deduplication, and enriches dataset with third-party business info. It delivers structured bidding insights for search and visualization use cases.
Key insight: Data quality pipelines are more valuable than scraping speed.
My role: Data pipeline design · Backend development · System deployment
For more projects and contributions, visit my GitHub
Experience
Chief Technology Officer (CTO) / Lead Engineer
- Built an internal gamified incentive platform with leaderboard and reward mechanisms inspired by LOL. This boosted overall sales performance by 20% through enhanced staff motivation and engagement.
- Led end-to-end design and implementation of a PMS serving hotel operations, improving operational efficiency and reducing booking and reconciliation errors through workflow automation.
- Introduced an OA (Office Automation) system to streamline internal workflows and communication. The integration increased cross-department collaboration, reduced operational costs, and established a scalable digital foundation to support future business expansion.
- Developed a comprehensive hotel management system, integrating PMS, OA, and gamified incentive platform to streamline business operations and enhance overall efficiency.
Backend Engineer
- Led development of file-level recovery at any point in time based on CDP technology, supporting mainstream Linux and Windows file systems
- Designed and implemented an optimized recovery workflow, improving recovery performance by over 80% in industrial scenarios
- Implemented data backup consistency verification feature in backup management system, enhancing disaster recovery integrity and preventing data tampering during backup and restore processes
AI Engineer (Image Search & Recommendation System)
- Built image search and recommendation systems using deep learning and computer vision techniques
- Implemented image feature extraction and similarity matching algorithms
- Optimized search results using ranking and filtering techniques
- Integrated with e-commerce platforms for real-time product recommendations
- Improved user engagement and conversion rates through personalized image search and recommendation
Availability
Open to backend / full-stack roles
Remote or relocation · English working environment