You will get AI Integration (LLM, APIs, AWS) — Secure & Reliable
Top Rated
Top Rated
Project details
If you’re looking for secure and reliable AI integration, you’re in the right place. I help companies integrate AI and LLMs into real products and workflows, focusing on stability, security, and production readiness—not demos.
I work with AI APIs and LLM providers to deliver integrations that behave consistently, handle failures gracefully, and respect data and access constraints. Each project is scoped around one clear AI integration, with optional add-ons for scaling.
Services I offer:
✅ Secure AI & LLM API integration
✅ Prompt engineering and structured outputs
✅ Reliability patterns: validation, retries, fallbacks
✅ Logging, monitoring, and error handling
✅ PII-aware security and access control
Why work with me?
🔒 Security-first mindset
⚙️ Production-grade reliability
🧩 Product thinking + AI engineering
📈 Focus on outcomes, not experiments
Whether you need to integrate AI into an existing system or ship a robust AI-powered feature, I’ll help you do it safely and confidently.
Contact me to discuss your use case and integration goals.
I work with AI APIs and LLM providers to deliver integrations that behave consistently, handle failures gracefully, and respect data and access constraints. Each project is scoped around one clear AI integration, with optional add-ons for scaling.
Services I offer:
✅ Secure AI & LLM API integration
✅ Prompt engineering and structured outputs
✅ Reliability patterns: validation, retries, fallbacks
✅ Logging, monitoring, and error handling
✅ PII-aware security and access control
Why work with me?
🔒 Security-first mindset
⚙️ Production-grade reliability
🧩 Product thinking + AI engineering
📈 Focus on outcomes, not experiments
Whether you need to integrate AI into an existing system or ship a robust AI-powered feature, I’ll help you do it safely and confidently.
Contact me to discuss your use case and integration goals.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression AnalysisAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, AI-Generated Code, AI-Generated Music, AI-Generated Video, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, Jasper AI, NVIDIA AI Platform, PyTorch, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-4, GPT-J, Jurassic-2, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$497
|
Standard
$1,797
|
Advanced
$5,997
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$147 - $1,197
Additional Revision
+$197
Additional AI Integration
(+ 3 Days)
+$997
AI Monitoring & Logs
(+ 2 Days)
+$597
Security & PII Hardening
(+ 2 Days)
+$697Frequently asked questions
4 reviews
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DT
Dimitris T.
Feb 24, 2026
AI productivity consultant for engineering/dev team (1-hour session)
DS
Davide S.
Feb 15, 2026
Critical bug fix on a platform about to launch on AWS written in node.js
Absolutely a luck sender to solve in a very short time the critical problem.
Directly to the point, without esitation.
Will hire for more work on the same project for fix and build already planned features.
Directly to the point, without esitation.
Will hire for more work on the same project for fix and build already planned features.
MI
Mariia I.
Jan 19, 2026
AI Integration Expert
Claudio is truly an AI Integration Expert. He approached his work meticulously, completed the task efficiently, and provided valuable recommendations.
JS
John S.
Jan 15, 2026
AI Chatbot Development
Claudio, an excellent AI chatbot developer, conducted a detailed review of our current flow and provided a solution.
About Claudio
AI Integration | AI Chatbot Development | Architect | AWS Certified
100%
Job Success
Milan, Italy - 8:28 pm local time
Need AI chatbot development, AI integration, or AI automation that delivers measurable ROI (conversion uplift, fewer tickets, faster ops), not a demo?
I’m an AWS-certified engineer and ex co-founder/CTO, so I’m business-oriented by default: every llm, machine learning, api, n8n, AI automation, and ai agent choice is evaluated against KPIs, risk, and cost.
I wrote my first lines of code at 10. By 14, I was already building and selling software online. That “build-it-for-real” mindset is why clients hire me for AI integration and AI chatbot development: I design, implement, harden, and scale production systems end-to-end, and I bring 20+ years of experience doing it.
🧠 Why clients hire me
1️⃣ CTO & Co-founder perspective: every AI integration decision supports product, risk, costs, and ROI.
2️⃣ Production-first engineering: secure api, monitored llm, traceable ai agent, auditable n8n + AI automation.
3️⃣ Outcomes-driven delivery: machine learning + AI chatbot development tied to measurable KPIs.
📈 Proof in outcomes
💳 Nexi (EU payments): AI integration + machine learning recommender + low-latency api → +50% conversion on millisecond checkout flows.
🧾 Accountants copilot: AI chatbot development (llm + RAG) + RBAC + audit logs → faster compliant replies and +30% NPS.
🎟️ Tap to Donate: AI integration + secure api + offline-first mobile POS → ~50% faster donation flow, shorter queues, higher donor capture.
📊 Analytics assistant: AI chatbot development (llm) + semantic/SQL routing + access controls → ~30% fewer support requests.
⚙️ Ops delivery: AI automation with n8n + api connectors → 30–60% fewer manual steps and faster cycle time.
🤖 Workflow ops: ai agent + llm tools + approvals → 25–40% faster handling time with full traceability.
🎯 How I drive ROI (what you get)
📌 AI automation with n8n: n8n approvals + n8n retries + n8n run logs + an extra n8n safety layer → fewer errors, auditable delivery.
📌 ai agent workflows: each ai agent has explicit tools, permissions, rate limits, and guardrails — one more ai agent check for risky actions.
📌 api hardening: api contracts, api tests, api observability → predictable latency and fewer incidents.
📌 machine learning in production: machine learning evaluation + drift monitoring + another machine learning KPI loop → sustained uplift, not one-off spikes.
📌 llm safety by design: llm grounding + PII masking + llm fallbacks → higher trust and lower compliance risk.
📌 AI integration at scale: AI integration patterns + tenant isolation + staged rollout → safer launches across teams.
📌 AI chatbot development that converts: AI chatbot development tuned on metrics + AI chatbot development UX iterations → higher CSAT/NPS, fewer escalations.
🚀 Core services
✅ AI integration: connect data + tools with secure api layers, monitoring, and governance.
✅ AI chatbot development: llm + RAG, escalation flows, evals, and full traceability.
✅ AI automation: n8n orchestration, policy checks, retries, and auditable logs.
✅ AI agent builds: tool calling + permissions + safe fallbacks, integrated via api.
✅ Machine Learning & MLOps: training, evaluation, drift, retraining — tied to ROI.
🛠 Tech (production-first)
AWS (Lambda/ECS/EKS, DynamoDB, S3, CloudFront) + Terraform/CDK. Backend: Python (FastAPI) and Node.js/TypeScript. Data: Postgres (pgvector), MySQL, MongoDB. Frontend: React/Next.js, React Native.
LLM stack: OpenAI/ChatGPT API and AWS Bedrock, LangChain-style RAG pipelines, tool calling, structured outputs, and ai agent patterns.
Automation: n8n for AI automation workflows (webhooks, retries, approvals) and api-driven integrations.
Hardening: IAM least privilege, KMS encryption, RBAC, PII masking/redaction, audit logs, integration testing, observability, CI/CD.
🎁 Bonus (free)
After our first chat, I’ll send a short “AI Readiness” checklist covering data access, permissions, llm safety, machine learning evaluation, api design, and n8n automation.
✉️ 𝗦𝗲𝗻𝗱 𝗺𝗲 𝘆𝗼𝘂𝗿 𝘂𝘀𝗲-𝗰𝗮𝘀𝗲 (𝗔𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 / 𝗔𝗜 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 / 𝗔𝗜 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻). 𝗜’𝗹𝗹 𝗿𝗲𝗽𝗹𝘆 𝘄𝗶𝘁𝗵 𝗮 𝗳𝗿𝗲𝗲 𝟯𝟬-𝗺𝗶𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗿𝗲𝘃𝗶𝗲𝘄 + 𝗮 𝟭-𝘄𝗲𝗲𝗸 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗽𝗹𝗮𝗻.
📆 Last Updated: 2026-05-07
Steps for completing your project
After purchasing the project, send requirements so Claudio can start the project.
Delivery time starts when Claudio receives requirements from you.
Claudio works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Scope
Review goals, system context, users, data, and constraints. Confirm scope, assumptions, success criteria, and included AI integration.
Architecture & Design
Define AI integration architecture: model choice, prompts, outputs, security patterns, error handling, and reliability strategy.