Daniel Tran
HomeProjectInsightsContact
7

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

Architecting a Production AI Voice Sales Agent

Architecting a Production AI Voice Sales Agent

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

X
Bluesky
GitHub
TelegramTelegram
LovaRank
Visit websiteView details

Sponsored discovery directory for Lovable-built websites where builders pay to claim and climb ranks, browse by category and today’s listings, and get discovered through paid placement instead of votes or waitlists.

Role

Full Stack Product Engineer

Technical Highlights

  • Built an end-to-end sponsored ranking product on TanStack Start, React 19, and Tailwind with public directory surfaces for all-time ranks, category boards, today’s joiners, featured placements, and website detail pages
  • Designed a balance-based ranking model in PostgreSQL where higher paid balances rise higher, with tie-break timing, category partitions, and a $2 listing floor aligned to Paystack USD minimums
  • Implemented a public claim-and-pay flow: URL and category intake, Open Graph metadata enrichment, bid preview, Paystack checkout, payment verification, then secure listing credit
  • Modeled the data layer with websites, ranking accounts, ranking payments, featured bookings, categories, and RLS policies for anonymous public reads with privileged writes through security-definer RPCs
  • Optimized directory and profile performance with count-based rank queries, shared directory chrome, searchable category comboboxes, lazy logo loading, and reduced overfetching on category and detail routes
  • Shipped discovery UX for mobile and desktop: claim UI, podium list cards, category filters with search, sidebar today’s rank, and SEO metadata for home, category, today, and detail pages

Impact

Gave Lovable builders a paid discovery channel to get listed, rise by investment, and be found by category — with real checkout, secure server-side payments, and a production-ready ranking board ready for community marketing.

  • TanStack Start
  • TanStack Router
  • React 19
  • TypeScript
  • Vite
  • Tailwind CSS
  • Supabase
  • PostgreSQL
  • Row Level Security
  • Supabase Edge Functions
  • Paystack
  • Payments
  • Server Functions
  • Zod
  • SEO
  • Lovable
AI Voice Sales Agent
Visit websiteView details

AI-powered voice sales platform that conducts natural inbound and outbound calls, follows approved sales scripts, answers customer questions, handles objections, qualifies leads, and coordinates follow-ups or live transfers to human representatives.

Role

Full Stack AI Engineer

Technical Highlights

  • Architected an end-to-end voice pipeline connecting Twilio telephony, speech-to-text, LLM reasoning, and ElevenLabs text-to-speech for natural customer conversations
  • Designed AI sales conversation logic that follows approved scripts, handles common objections and rebuttals, answers product questions, and determines the next best action
  • Implemented RAG-based retrieval across product information, FAQs, policies, sales materials, and authorized live business data such as pricing and availability
  • Built inbound and outbound calling workflows with lead qualification, call outcome capture, appointment scheduling, and automated SMS and email follow-ups
  • Integrated CRM and lead management workflows to store conversation summaries, customer interest, objections, and actionable next steps
  • Implemented warm call transfers for customer requests, high-value leads, and conversations requiring human sales expertise
  • Designed the voice agent architecture for configurable AI models based on response quality, latency, reliability, privacy, call volume, and operating cost

Impact

Enabled businesses to automate scalable sales conversations while preserving accurate company messaging, structured lead capture, timely follow-ups, and seamless human escalation for qualified or complex opportunities.

  • Next.js
  • TypeScript
  • AI
  • LLM
  • Voice AI
  • Twilio
  • ElevenLabs
  • Speech-to-Text
  • Text-to-Speech
  • RAG
  • CRM Integration
  • Real-Time Communication
  • Vercel
Sonica Studio
Visit websiteView details

AI-powered music creation platform that helps creators generate original music, lyrics, melodies, and complete productions through intelligent AI workflows while providing tools for editing, organizing, and publishing creative projects.

Role

Full Stack AI Engineer

Technical Highlights

  • Architected a scalable asynchronous music generation pipeline with queue-based processing, job lifecycle management, retries, progress tracking, and failure recovery for long-running AI generation tasks
  • Built the platform using Next.js, TypeScript, and Supabase, leveraging PostgreSQL, Authentication, Storage, Edge Functions, and Row-Level Security for a secure multi-user SaaS architecture
  • Designed a production-ready backend architecture supporting concurrent music generation requests, real-time status updates, optimized database operations, and efficient resource utilization
  • Integrated AI-powered music generation workflows capable of producing complete songs, instrumentals, vocals, lyrics, and multiple musical styles through configurable generation pipelines
  • Developed a comprehensive project management system with generation history, versioning, favorites, search, filtering, and cloud-based asset management
  • Implemented subscription, credit-based billing, secure authentication, and user quota management to support commercial-scale AI music generation services
  • Optimized frontend performance with Next.js App Router, server components, streaming, caching, and real-time Supabase subscriptions to deliver a responsive user experience

Impact

Empowered musicians, creators, content producers, and businesses to transform ideas into professional-quality music within minutes, dramatically accelerating creative workflows while making high-quality music production more accessible.

  • Next.js
  • TypeScript
  • Supabase
  • PostgreSQL
  • AI
  • LLM
  • Music AI
  • Audio Processing
  • Stripe
  • Crypto payment
  • Vercel
  • Tailwind
  • shadcn/ui
Skypost AI
Visit websiteView details

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
Visit websiteView details

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
Visit websiteView details

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
Visit websiteView details

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
Visit websiteView details

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