You will get AI Workflow Automation Sprint
Top Rated
Top Rated
Project details
I build practical AI solutions for businesses that want to automate work, improve support, and use their data better. This project is ideal for clients who need an AI chatbot, AI workflow automation, RAG assistant, or a custom AI agent connected with their app, API, database, or internal tools. I work on real business use cases such as customer support, document search, lead handling, summaries, internal copilots, and task automation.
You will get a clean and well-structured AI solution based on your needs, with strong attention to quality, testing, and usability. I can work with tools such as OpenAI, Claude, Python, FastAPI, vector databases, APIs, and third-party integrations. My focus is to build something useful, easy to maintain, and ready for real usage instead of just a demo. Each package is designed to give you a clear scope, smooth delivery process, and polished final output.
You will get a clean and well-structured AI solution based on your needs, with strong attention to quality, testing, and usability. I can work with tools such as OpenAI, Claude, Python, FastAPI, vector databases, APIs, and third-party integrations. My focus is to build something useful, easy to maintain, and ready for real usage instead of just a demo. Each package is designed to give you a clear scope, smooth delivery process, and polished final output.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Generated Code, Facial Recognition, Image RecognitionAI Development Language
PythonAI Tools
Bing AI, Copy.ai, Hugging Face, Jasper AI, NVIDIA AI Platform, PyTorch, StreamlitAI Models
AlphaCode, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$1,450
|
Standard
$3,250
|
Advanced
$5,750
|
|---|---|---|---|
| Delivery Time | 7 days | 13 days | 21 days |
Number of Revisions | 1 | 1 | 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 | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $2,000
17 reviews
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SM
Sarmad M.
Jun 30, 2026
Senior RPA / Browser Automation Engineer for Healthcare AI Platform (Full-Time, Long-Term)
Shibbal is a strong full stack AI engineer. Across our engagement he delivered high quality work on browser automation, AWS, Python, and EHR integrations. His debugging and problem solving is strong, he goes deep on hard problems and takes real ownership of the systems he builds.
IH
Ian H.
Feb 25, 2026
Web Developer Needed for Booking System Update and Maintenance
I was extremely satisfied with the work on my new webpage adventuresinunpoiledspain.com and the booking system : technically very competent and communication was always excellent . I have no hesitation in recommending him and in fact we will be using him for future projects
DR
Dinah R.
Jan 6, 2026
App Development Gemini/Cursor Pro
Great work Shibbal
SE
Steve E.
Oct 29, 2025
React Native · Expo SDK 53 · Firebase Auth (v11+) · Expo Router v5
good help, helped set up stable RN environments and gave useful tips. Jumped on calls to talk through issues and explained well. Knowledgeable and really helpful. Thank you Shibbal, we will work together again in future.
MM
Mikaela M.
Oct 29, 2025
React Native Frontend Engineer — Finish, Polish & Ship (Immediate Hire & Start)
About M Shibbal
AI Agent & RAG Developer | Claude API, LangChain n8n | Python, FastAPI
100%
Job Success
Lahore, Pakistan - 7:17 am local time
I build production ready AI agents, RAG pipelines and workflow automations that real businesses use daily, not demos or prototypes. My core stack is the Anthropic Claude API and OpenAI API, orchestrated with LangChain and LangGraph, on a Python/FastAPI backend, with n8n or Makecom handling workflow automation.
WHAT I BUILD
RAG knowledge assistants: document ingestion, chunking, embeddings, and semantic search over PDFs, Notion, Google Drive, and SQL data using Pinecone, pgvector, Qdrant, or ChromaDB with grounded, cited answers and guardrails against hallucination
AI agents with tool use: multi step function calling, structured JSON outputs (Pydantic schema enforcement) and human-in-the-loop approval before anything reaches a customer
Workflow automation: email triage and AI drafted replies (Gmail/Outlook), lead qualification and CRM updates (HubSpot, GoHighLevel, Airtable), appointment booking (Calendly, Google Calendar), all wired through n8n, webhooks, and REST APIs with proper error handling and retries
Customer support chatbots on WhatsApp Business API, Telegram, and web (React/Next.js chat UI), with conversation memory and clean escalation to human agents
Voice AI agents for inbound and outbound calls using Vapi, Retell AI, Twilio and ElevenLabs
Claude Code and MCP server integrations for agentic developer workflows
RECENT WORK
Legal AI assistant that answers questions from a private document base and summarizes contracts, with source citations on every answer
WhatsApp support and booking bot for a services business, integrated with their calendar and CRM
Email automation pipeline that classifies incoming mail, drafts replies with Claude for team review (no auto-send) and logs everything to the CRM
RAG powered search and analytics features embedded into an existing SaaS product
HOW I WORK
Every build ships with clean, documented code that a non technical owner or the next developer can maintain, no dependencies on my personal accounts, full handoff of credentials and source. I scope first, deliver a working prototype fast, then harden it for production with testing, logging, and error handling. Clear async communication throughout and I'm available for a retainer after delivery for fixes and improvements.
Tech stack: Python, FastAPI, PostgreSQL + pgvector, Redis, Docker, Supabase, Node.js, React, Next.js, TypeScript | Claude API, OpenAI API, Gemini, Ollama (self-hosted) | LangChain, LangGraph, CrewAI | n8n, Makecom, Zapier | Pinecone, Qdrant, ChromaDB
Message me with a short description of what you're trying to automate or build, and I'll tell you honestly whether it's a fit and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so M Shibbal can start the project.
Delivery time starts when M Shibbal receives requirements from you.
M Shibbal works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Share requirements, tools, data source, and expected outcome.
Review Scope
I review the scope and confirm the solution approach.