Full Stack AI Engineer for FastAPI, Next.js & GenAI Products
I build full-stack AI products from architecture to deployment: FastAPI backends, Next.js interfaces, Postgres schemas, async queues, authentication, analytics, SEO, observability, and CI/CD.
This service is relevant for teams searching for a full-stack AI engineer, FastAPI developer, Next.js AI product engineer, Postgres database architect, SaaS MVP engineer, or Python backend developer.
What I Build
High-quality, modular software products engineered for performance, visual beauty, and seamless search engine crawlability.
SaaS MVPs
Fast, end-to-end software products built to scale, featuring complete auth, databases, Stripe payments, and admin controls.
AI-Powered Analytics Portals
Sophisticated data dashboards parsing dense telemetry schemas and presenting metrics with premium interactive controls.
Agentic Chat Interfaces
Source-cited chatbot frontends that showcase prompt chains, retrieve context dynamically, and stream markdown responses.
Internal Productivity Tools
Internal workflow tools for approved data operations, browser-based QA, structured imports, admin automation, and operational reporting.
API-First Services
High-throughput API endpoints designed in Python/FastAPI with Pydantic validations and detailed OpenAPI docs.
Vector Retrieval Architectures
Embeddings generation, hybrid neural search configurations, and context-aware RAG pipelines mapped directly to databases.
Example Architecture Blueprint
Production-grade, asynchronous infrastructure model designed to ensure ultra-low user interface latencies during long-running AI completions.
Ultra-fast session storage, in-memory cache, and message broker
Frontend Stack Core
Next.js
React framework with robust App Router static generation
TypeScript
Strict compile-time types for secure application scaling
React 19
Modern server/client components and asynchronous actions
Tailwind CSS
Elegant design styling with harmonious OKLch variables
motion/react
Fluid, high-performance micro-animations
Tabler Icons
Consistent, visually polished vector icons
Analytics & SEO Instrumentation
I build applications with clean metadata, semantic HTML, sitemaps, schema.org JSON-LD, crawlable links, and server-side analytics so they are easier for search engines and answer engines to understand, index, and cite.
Deployment & Observability
I secure production codebases using Docker containers and Docker Compose. I construct reliable GitHub Actions CI/CD pipelines that trigger safe automated code verification tests and push updates with zero downtime. I instrument structured logging patterns, error notifications, and server-side metrics to trace bugs instantly.
Built a complex SEO & AEO audit platform featuring Celery task queues processing hundreds of concurrent crawls, Python scrapers generating vector embeddings, and an interactive Next.js dashboard presenting data analytics.
Designed a private FastAPI and Playwright workflow-orchestration system with bounded worker concurrency, secure session-state handling, background queues, and telemetry logging.
Yes. I construct clear, responsive, production-ready, highly interactive web interfaces using Tailwind CSS and motion animations. I focus on curated harmonious color palettes, modern typography, sleek dark modes, and fully responsive layouts that function on all desktop and mobile devices.
Can you integrate with existing databases?
Yes. I write clean SQLAlchemy database models, design optimized relational database schemas (normalized or data warehouses), and write safe versioned migrations using Alembic to ensure zero data loss during deployment.
What vector databases do you support for AI applications?
I work with PGVector (to keep your tech stack simplified directly inside your Postgres cluster), Qdrant, Pinecone, or Chroma, depending on your retrieval speeds, scalability needs, and hybrid dense/sparse search requirements.
How do you handle user authentication and security?
I implement production-ready OAuth2 flows, stateful or stateless JSON Web Tokens (JWT), secure HttpOnly cookies, password hashing via bcrypt or argon2, and strict Cross-Origin Resource Sharing (CORS) configurations to block vulnerabilities.
Do you handle server deployment and DevOps?
Yes. I deliver fully containerized codebases using Docker and Docker Compose, supported by automated GitHub Actions CI/CD pipelines that deploy cleanly to your virtual servers (VPS) or cloud infrastructure with zero downtime.
Let's build your full-stack AI product
From database normalizations and FastAPI backend gateways to modern Next.js interactive UI panels and secure Docker deployments. Let's schedule a technical discovery call.