Daniel Tran
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Project

A collection of projects showcasing my work and expertise in various domains.

Supabase in Production: Lessons from Scaling Real Apps

Supabase in Production: Lessons from Scaling Real Apps

Vibe Coding in Production: How to Build Real Products Using Lovable and v0

Vibe Coding in Production: How to Build Real Products Using Lovable and v0

Designing a Queue System for Limited Resource Pools

Designing a Queue System for Limited Resource Pools

AI Automation in Production: What Actually Works

AI Automation in Production: What Actually Works

Building a RAG Chat System: Lessons from DIFINES AI

Building a RAG Chat System: Lessons from DIFINES AI

What Most Developers Get Wrong About AI Products

What Most Developers Get Wrong About AI Products

Building a Production-Ready Web3 Platform: Lessons from Real Blockchain Infrastructure

Building a Production-Ready Web3 Platform: Lessons from Real Blockchain Infrastructure

Why Next.js Became My Default Framework for Production SaaS

Why Next.js Became My Default Framework for Production SaaS

Building Real AI Products vs AI Demos: What Actually Matters

Building Real AI Products vs AI Demos: What Actually Matters

Why Python Remains Essential for Modern Backend and AI Systems

Why Python Remains Essential for Modern Backend and AI Systems

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Skypost AI

AI scheduling platform for marketing content that generates, organizes, schedules, and automatically publishes social media content using AI-powered workflows and connected social accounts.

Role

Full Stack AI Engineer

Technical Highlights

  • Built an AI-powered marketing automation platform that transforms a single content idea into weeks or months of scheduled social media content
  • Integrated Groq Llama 3.3 70B and AI SDK to generate high-quality marketing posts with configurable tone, audience targeting, and content strategies
  • Implemented secure Bluesky account connection and OAuth-based authentication for automated publishing workflows
  • Designed a scheduling engine that automatically generates publishing calendars and manages future content across customizable posting frequencies
  • Created a content management dashboard for reviewing, editing, scheduling, and monitoring AI-generated marketing campaigns
  • Developed automated publishing infrastructure with retry mechanisms, publishing logs, token management, and delivery tracking
  • Implemented timezone-aware scheduling and content batching to support global marketing campaigns and consistent audience engagement

Impact

Enabled marketers, creators, and businesses to automate content planning, generation, scheduling, and publishing from a single platform, significantly reducing manual effort while improving content consistency and audience reach.

  • Next.js
  • TypeScript
  • Supabase
  • PostgreSQL
  • Groq
  • AI SDK
  • Bluesky API
  • OAuth
  • Vercel
  • Cron Jobs
  • Tailwind
  • shadcn/ui
o1 Exchange

Advanced cryptocurrency trading platform offering spot trading, instant swaps, copy trading, and multi-router DeFi liquidity aggregation.

Role

Senior Full Stack Engineer

Technical Highlights

  • Developed core trading platform functionality including copy trading, spot trading, and instant trading workflows
  • Designed and built a Meta DEX Aggregator Engine utilizing multiple routing strategies to optimize swap execution
  • Implemented high-performance routing logic to deliver faster transactions, improved liquidity access, and reduced trading costs
  • Built backend services and APIs supporting real-time trading operations and portfolio synchronization

Impact

Improved trading efficiency and execution quality through intelligent routing, enabling users to access optimal liquidity across multiple decentralized exchanges.

  • Next.js
  • TypeScript
  • Node.js
  • PostgreSQL
  • Web3
  • DeFi
  • DEX Aggregation
  • Copy Trading
  • Smart Contracts
  • Trading Systems
Predictefy

Prediction market platform enabling users to participate in event-based markets and leverage social trading strategies powered by blockchain technology.

Role

Senior Full Stack Engineer

Technical Highlights

  • Contributed to full-stack development of the prediction market platform across frontend, backend, and data services
  • Integrated third-party prediction market providers and external market data sources, including Polymarket-compatible endpoints
  • Implemented one-click copy trading functionality allowing users to automatically replicate successful trading strategies
  • Built real-time market synchronization, trade execution, and portfolio tracking systems

Impact

Enhanced user engagement and trading accessibility by simplifying prediction market participation and enabling automated strategy replication.

  • Next.js
  • TypeScript
  • Node.js
  • PostgreSQL
  • Web3
  • Prediction Markets
  • Copy Trading
  • API Integrations
  • Real-Time Data
  • Blockchain
DFS Chain

Blockchain infrastructure platform supporting DeFi applications and token ecosystems.

Role

Lead Full Stack Engineer

Technical Highlights

  • Built blockchain explorer and wallet-adjacent infrastructure
  • Designed token launch, staking, and ecosystem service architecture
  • Created integration APIs for partner teams and developers

Impact

Enabled scalable ecosystem infrastructure and faster developer integrations.

  • Supabase
  • PostgreSQL
  • Next.js
  • TypeScript
  • Blockchain
  • Web3
  • DeFi
  • Tailwind
  • DApp Architecture
  • Token Economy
DIFINES AI

RAG-based AI consultant that answers user questions about the DIFINES ecosystem using markdown knowledge resources, Supabase pgvector search, and Groq-powered LLM responses.

Role

Full Stack AI Engineer

Technical Highlights

  • Built a RAG chatbot for the DIFINES consultant page using markdown documents as the knowledge source
  • Implemented Supabase pgvector storage and similarity search for retrieving relevant ecosystem documentation
  • Integrated Groq Llama 3.3 70B for fast AI responses and Gemini embedding-001 for document embeddings
  • Created an ingestion workflow to chunk markdown files, generate embeddings, and store searchable knowledge in PostgreSQL
  • Designed the assistant UI to match the existing DIFINES landing page style and provide a smooth chat experience

Impact

Improved user understanding of the DIFINES ecosystem by enabling instant AI-powered answers based on verified project documentation.

  • React
  • TypeScript
  • Supabase
  • PostgreSQL
  • pgvector
  • AI SDK
  • Groq
  • Llama 3.3 70B
  • Gemini embedding-001
  • RAG
  • Markdown Knowledge Base
  • Tailwind