AI Engineering
Integrating production AI features into SaaS platforms using modern LLM workflows and scalable architecture.
Daniel Tran
Senior Full Stack Engineer for SaaS and AI Products
Senior Full Stack Engineer Building Scalable SaaS and AI Products
Helping startups move from idea → production → scale using Next.js, Supabase, PostgreSQL, and modern AI workflows.
Senior Full Stack Engineer with 9+ years of experience building production SaaS platforms, backend systems, and user facing applications across fintech, AI, healthcare, iGaming, and digital asset products. I specialize in scalable application architecture, backend engineering, AI powered product development, and reliable cloud based systems.
- Full stack architecture, scalable backend services, and distributed systems
- AI powered applications, RAG pipelines, LLM integrations, and workflow automation
- Backend APIs, asynchronous processing, real time systems, and service integrations
- React, Next.js, TypeScript, and modern frontend architecture
- Cloud deployment, CI/CD, observability, performance optimization, and developer tooling
- Built production systems used by real users
- 9+ years engineering experience
- Startup engineering experience
- AI-native development workflows
- Production SaaS architecture experience
Overview
Senior Full Stack Engineer @ DIFINES
Social Links
Services
Full Stack Development
Building scalable SaaS applications using Next.js, Node.js, PostgreSQL, and Supabase.
Platform Architecture
Designing backend systems, APIs, and distributed architectures built for reliability and long-term scalability.
Database Schema Design
Scalable, maintainable schemas designed for data integrity and performance.
Startup Engineering Partner
Helping founders ship MVPs, scale products, and strengthen technical foundations from MVP to scale.
Technical Consulting
Architecture reviews, scaling guidance, and implementation strategy for growing startups.
Testimonials
Core Technologies I Build Production Systems With
Next.js, Supabase, PostgreSQL, and AI-native tooling for scalable SaaS and intelligent products.
Primary Production Stack
Backend
Infrastructure
AI Engineering & Automation
Experience
- Designed and developed production full stack applications across frontend interfaces, backend APIs, database architecture, authentication, background processing, and deployment.
- Built AI powered product features using LLM APIs, retrieval augmented generation (RAG), structured prompt pipelines, knowledge retrieval, content generation, and workflow automation.
- Developed AI driven content and marketing systems that retrieve contextual knowledge, generate structured content plans, process content through multi step LLM workflows, and automate publishing operations.
- Designed scalable backend services and APIs supporting asynchronous processing, job queues, scheduled workflows, rate limiting, retry handling, caching, and failure recovery for high concurrency applications.
- Designed application data models, service boundaries, authentication flows, and API integrations while connecting frontend experiences with backend services and persistent application state.
- Implemented end to end product features spanning user interfaces, business logic, APIs, database operations, real time processing, and third party service integrations.
- Designed and implemented a web based educational platform that reproduces real blockchain mechanics including wallets, transactions, blocks, confirmations, asset transfers, and ledger state using conventional Web2 application infrastructure.
- Built reusable internal services and AI assisted automation for testing, debugging, monitoring, workflow orchestration, and operational tasks, reducing repetitive engineering work across development workflows.
- Collaborated across product, frontend, backend, and infrastructure responsibilities from requirements and system design through implementation, deployment, monitoring, and production support.
- TypeScript
- Node.js
- Next.js
- PostgreSQL
- RAG Systems
- Workflow Orchestration
- Node.js
- TypeScript
- Express.js
- MongoDB
- Socket.io
- Payment Processing
- Node.js
- TypeScript
- Express.js
- Docker
- GitHub Actions
- API Design
- React
- Node.js
- GraphQL
- Web3.js
- AWS Lambda
- CI/CD
- Solidity
- Binance Smart Chain
- Smart Contracts
- DeFi
- Hardhat
- Truffle
- React
- Node.js
- Express.js
- MongoDB
- D3.js
- Healthcare Systems
- React
- TypeScript
- JavaScript
- HTML5
- CSS3
- Responsive Design
Technical University of Denmark (DTU)
- Data Structures & Algorithms
- Software Architecture
- Database Systems (SQL/NoSQL)
- Computer Networks
- System Design
- Software Testing
Projects(32)
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-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
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
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
Engineering Insights(11)
Thoughts on AI engineering, scalable architecture, and modern web development.
Let's Build Something Great
Available for:
- Full-stack SaaS platform development (Next.js, Supabase, PostgreSQL)
- AI feature development and integration
- System architecture and scalable platform engineering
- Blockchain infrastructure and Web3 platform engineering
- Technical architecture and senior engineering consulting