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AI-Powered Web Developer

Building for the Agentic Era

I don't just use AI tools—I build with them. My development workflow runs through Claude Code, enabling 40% faster ship cycles with production-grade quality. I integrate AI features (chatbots, embeddings, content generation) as first-class capabilities, not afterthoughts. 8 years of production experience ensures the AI accelerates without compromising engineering judgment.

Claude Code
Vercel AI SDK
OpenAI
Anthropic
Veo 3

Why Hire an AI-Assisted Developer?

40%
Faster Delivery
8
Years Production
AI
Features Built-In

The landscape has changed. In 2026, developers who integrate AI into their workflow outpace those who don't. But there's a catch: AI without experience produces garbage. The code might compile, but it won't scale, it won't handle edge cases, and it won't survive production traffic.

I bring both: 8 years of production experience + AI-native development workflows. The AI accelerates; my experience is the quality filter.

What I Deliver

Faster Development

Claude Code handles codebase exploration, parallel edits, and validation. I focus on architecture and decisions that matter.

AI Features Built-In

Chatbots, search with embeddings, content generation, tool calling. Not demos—production systems with error handling and monitoring.

Multi-Provider Architecture

OpenAI for speed, Anthropic for reasoning, custom models for specialized tasks. I design pipelines that use the right tool for each job.

Team Training

I can train your team on AI-assisted workflows. Tool selection, prompt engineering, agentic patterns, CI/CD integration.

My Agentic Development Workflow

This is what "AI-powered" looks like in practice.

1

Claude Code Explores

AI scans your entire codebase, understands patterns, identifies dependencies. No more 'getting up to speed' delays.

2

Structured Planning

Before writing code, Claude generates an implementation plan with file targets and risk assessment. You approve or adjust.

3

Parallel Execution

Multiple files edited simultaneously with type-safe refactoring. What would take hours happens in minutes.

4

Human Review

Every change gets my review. AI proposes; I decide. 8 years of experience filters out the noise.

5

Automated Validation

Tests run, types check, linting passes. The PR you see is production-ready.

AI Features I Build

Examples of production AI systems I can implement in your app.

Streaming Chat Interface

Vercel AI SDK + OpenAI/Anthropic

Real-time chat with tool calling, context management, and graceful error handling.

Semantic Search

text-embedding-3-large + Vector DB

Search that understands meaning, not just keywords. Works with Pinecone, Supabase, or custom solutions.

Content Generation Pipeline

Claude + Custom Prompts

Generate product descriptions, blog posts, or marketing copy with brand voice consistency.

Multi-Modal Analysis

GPT-4 Vision / Claude

Process images, PDFs, or mixed content with AI analysis and structured output.

My AI Stack

Tools I use daily for development and client projects.

Development

Claude Code

Agentic IDE for codebase exploration, planning, and parallel execution

AI Integration

Vercel AI SDK

Streaming chat UIs, tool calling, multi-provider abstraction

OpenAI API

GPT-4 for chat, text-embedding-3-large for vector search

Anthropic API

Claude for complex reasoning, long-context analysis

Generative AI

Google Veo 3

AI video generation for creative projects

Higgsfield AI

Soul ID for character consistency in video generation

Frequently Asked Questions

It means AI is embedded in my development process, not just used occasionally. I use Claude Code as my primary IDE—it scans codebases, writes implementation plans, executes parallel edits, and validates changes. This isn't autocomplete; it's agentic development where AI handles the repetitive work while I focus on architecture.