AI Feature Integration for Your App by Sergio PereyraAI Feature Integration for Your App by Sergio Pereyra
AI Feature Integration for Your AppSergio Pereyra
Cover image for AI Feature Integration for Your App
I add production-ready AI capabilities to your existing web or mobile app, so you ship smarter features without rebuilding from scratch.
Who this is for: Founders and product teams who want to add AI-powered features (chat, recommendations, scoring, generation, automation) to an app that already exists.
What you get: A fully integrated AI feature set wired into your current codebase, tested with real data, and deployed to production. No prototypes that sit on a shelf.
My stack: OpenAI, Claude, custom ML models, Python, Node.js, React, Next.js, PostgreSQL, vector databases, RAG pipelines.
How it works:
Week 1: Audit your codebase + define the AI feature spec + select the right model/approach
Week 2: Build the integration layer, API endpoints, and data pipeline
Week 3: Testing, edge case handling, performance tuning, and production deployment
Track record:
InterviewIz.com: Built real-time AI scoring, question generation, and video analysis handling 10K+ sessions/month
Multiple AI-powered search, recommendation, and content generation systems for SaaS platforms
I've shipped AI features that actually work at scale. If you need AI that goes beyond a demo, let's talk.
FAQs

Starting at$4,000
Duration3 weeks
Tags
Node.js
OpenAI
Python
React
AI Application Developer
AI Developer
Fullstack Engineer
Machine Learning
Service provided by
Sergio Pereyra Frankfurt, Germany
$1k+
Earned
3
Paid projects
5.00
Rating
52
Followers
AI Feature Integration for Your AppSergio Pereyra
Starting at$4,000
Duration3 weeks
Tags
Node.js
OpenAI
Python
React
AI Application Developer
AI Developer
Fullstack Engineer
Machine Learning
Cover image for AI Feature Integration for Your App
I add production-ready AI capabilities to your existing web or mobile app, so you ship smarter features without rebuilding from scratch.
Who this is for: Founders and product teams who want to add AI-powered features (chat, recommendations, scoring, generation, automation) to an app that already exists.
What you get: A fully integrated AI feature set wired into your current codebase, tested with real data, and deployed to production. No prototypes that sit on a shelf.
My stack: OpenAI, Claude, custom ML models, Python, Node.js, React, Next.js, PostgreSQL, vector databases, RAG pipelines.
How it works:
Week 1: Audit your codebase + define the AI feature spec + select the right model/approach
Week 2: Build the integration layer, API endpoints, and data pipeline
Week 3: Testing, edge case handling, performance tuning, and production deployment
Track record:
InterviewIz.com: Built real-time AI scoring, question generation, and video analysis handling 10K+ sessions/month
Multiple AI-powered search, recommendation, and content generation systems for SaaS platforms
I've shipped AI features that actually work at scale. If you need AI that goes beyond a demo, let's talk.
FAQs

$4,000