You will get Build an Autonomous AI Workflow Agent (n8n, Make, Custom MCP)
Project details
Build an Autonomous AI Workflow Agent (n8n, Make, Custom MCP)
Most automation is "dumb"-it triggers a rule based on simple 'if-this-then-that' logic. I build Autonomous Agents that are "smart." These agents use advanced LLMs (like Claude 3.5 Sonnet or GPT-4o) to evaluate context, reason through multi-step decisions, and only involve you when absolutely necessary.
Whether you need a full-stack Sales Agent that qualifies leads and drafts contracts, or an Operations Agent that monitors internal systems and auto-fixes errors, I build systems that integrate deeply into your business.
This project includes:
Architecture Design: Defining the agentic reasoning loop and tool-use capabilities.
Orchestration: Developing complex multi-agent workflows in n8n or Make.com.
Advanced Connectivity: Building custom MCP Servers to bridge the AI with your private databases, local files, or internal APIs securely.
Production Standards: Implementing error handling, retry logic, and Observability Guardrails (via LangSmith) to reduce hallucinations and ensure reliability.
I don’t just write scripts; I build robust, self-healing digital employees that scale your team’s capacity.
Most automation is "dumb"-it triggers a rule based on simple 'if-this-then-that' logic. I build Autonomous Agents that are "smart." These agents use advanced LLMs (like Claude 3.5 Sonnet or GPT-4o) to evaluate context, reason through multi-step decisions, and only involve you when absolutely necessary.
Whether you need a full-stack Sales Agent that qualifies leads and drafts contracts, or an Operations Agent that monitors internal systems and auto-fixes errors, I build systems that integrate deeply into your business.
This project includes:
Architecture Design: Defining the agentic reasoning loop and tool-use capabilities.
Orchestration: Developing complex multi-agent workflows in n8n or Make.com.
Advanced Connectivity: Building custom MCP Servers to bridge the AI with your private databases, local files, or internal APIs securely.
Production Standards: Implementing error handling, retry logic, and Observability Guardrails (via LangSmith) to reduce hallucinations and ensure reliability.
I don’t just write scripts; I build robust, self-healing digital employees that scale your team’s capacity.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Regression AnalysisAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI-Enhanced Classification, AI-Generated Code, AI-Generated Video, Image Processing, Image Recognition, Image Upscaling, Natural Language Generation, Neural Machine Translation, Sentiment AnalysisAI Development Language
PythonAI Tools
Bing AI, Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, ReplitAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LLaMA, Midjourney AI, OpenAI CodexWhat's included
| Service Tiers |
Starter
$499
|
Standard
$999
|
Advanced
$1,999
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
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 | - |
Frequently asked questions
About Raza
AI SaaS Engineer | Automation | Healthcare & Finance
New Delhi, India - 6:42 pm local time
Two of my recent products are live and serving real users:
# EaseHealthAI(dotcom) - healthcare workflow automation and AI-assisted operational systems
# LensOnWealth(dotcom) - AI-powered portfolio intelligence and financial insights platform
My Upwork profile is newer, but the platforms I’ve built - including EaseHealthAI and LensOnWealth — are already deployed and serving real users.
Before going independent, I spent 25+ years in enterprise software engineering and leadership, most recently as Director of Engineering at Optum, where I led global teams of 500+ engineers building large-scale healthcare platforms across the US, Europe, and APAC.
What this means for clients:
You get senior-level architecture, scalable engineering practices, and production-quality execution - delivered with the speed and flexibility of an independent builder.
I focus on shipping systems that are:
# production-ready
# maintainable
# scalable
# aligned to real business workflows
WHAT I BUILD
----------------------------------------------------------------------------------------------------
# AI-powered SaaS applications and MVPs
# Next.js + Supabase platforms with AI integrations
# Workflow automation systems using n8n, Make, and APIs
# AI copilots, document intelligence, and RAG-based systems
# Internal dashboards and operational tools
# Multi-step AI workflows integrated into business processes
# Healthcare and fintech applications with secure data handling
MY APPROACH
----------------------------------------------------------------------------------------------------
I do more than add AI features to applications.
I design complete systems where:
# AI integrates into operational workflows
# automation reduces manual work
# APIs and data systems work reliably together
# the architecture can scale beyond MVP stage
I typically help clients:
# turn ideas into working SaaS products
# modernize manual workflows using AI automation
# build internal AI tools for teams and operations
# create scalable technical foundations early
TECHNICAL STACK
----------------------------------------------------------------------------------------------------
AI & LLMs:
OpenAI, Claude, Gemini, DeepSeek, OpenRouter
AI Architecture:
RAG, Agentic Workflows, Multi-Agent Systems, Vector Databases, AI Tool Orchestration
Automation:
n8n, Make, Flowise, API Integrations, Custom AI Workflows
Full-Stack Engineering:
Next.js, React, TypeScript, Python, Node.js, Supabase, PostgreSQL, AWS
WHO I WORK BEST WITH
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# SaaS founders building AI-enabled products
# Healthcare and health-tech companies
# Financial and investment platforms
# Businesses automating operational workflows
# Teams that need both architecture thinking and hands-on execution
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If you are building an AI-enabled product or automation system and need someone who understands both enterprise-scale engineering and rapid execution, I’d be happy to discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Raza can start the project.
Delivery time starts when Raza receives requirements from you.
Raza works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Blueprint & Tech Selection
I conduct a technical deep dive. I define the AI architecture (Agentic RAG, Multi-Agent workflow, etc.), select the optimal LLMs (Claude, GPT-4, Llama 3), and map out any Custom MCP Server requirements to connect your data
Core Development & Tool Integration
This is the Build Phase. I configure the agentic workflows in n8n/Make OR construct the full-stack RAG engine. During this step, I perform the initial 'tool-use' integration to connect the AI with your existing CRM, database, or Slack/Email.