You will get custom ai agents, langgraph/langchain workflows and multi-agent systems
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Project details
Need an AI system that can do more than answer questions?
I build production-grade AI agents and multi-agent systems that automate workflows, process documents, make decisions, and integrate with your existing tools.
Whether you're building an AI-powered SaaS product, internal business assistant, document intelligence platform, or workflow automation solution, I can help design and implement a scalable architecture.
Services include:
AI Agents & Agentic Workflows
LangGraph Multi-Agent Systems
LangChain Applications
AI Email Assistants
Human-in-the-Loop Approval Workflows
Document Processing & Contract Analysis
Tool Calling & API Integrations
Custom Business Automation
AWS & GCP Deployment
Tech Stack: LangGraph, LangChain, OpenAI, Claude, Gemini, Python, FastAPI, PostgreSQL, AWS, GCP, Docker, PGVector.
I focus on building reliable AI systems designed for production use, with proper orchestration, observability, and scalabilitynot just prototypes.
Message me before ordering to discuss your requirements and determine the best architecture for your project.
I build production-grade AI agents and multi-agent systems that automate workflows, process documents, make decisions, and integrate with your existing tools.
Whether you're building an AI-powered SaaS product, internal business assistant, document intelligence platform, or workflow automation solution, I can help design and implement a scalable architecture.
Services include:
AI Agents & Agentic Workflows
LangGraph Multi-Agent Systems
LangChain Applications
AI Email Assistants
Human-in-the-Loop Approval Workflows
Document Processing & Contract Analysis
Tool Calling & API Integrations
Custom Business Automation
AWS & GCP Deployment
Tech Stack: LangGraph, LangChain, OpenAI, Claude, Gemini, Python, FastAPI, PostgreSQL, AWS, GCP, Docker, PGVector.
I focus on building reliable AI systems designed for production use, with proper orchestration, observability, and scalabilitynot just prototypes.
Message me before ordering to discuss your requirements and determine the best architecture for your project.
AI Development Type
Recommendation SystemAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 10 days | 15 days | 30 days |
Number of Revisions | 2 | 2 | 2 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | |||
Ontology | |||
Source Code | |||
Taxonomy |
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JT
John T.
Jul 27, 2026
AI Product Builder Wanted: Build an AI Relationship Intelligence Platform
Abid was responsive and produced a great product.
AS
Aidan S.
May 6, 2026
Business workflows automation with AI
Abid is a great developer and expert with building agentic AI across various technologies. He does a great job of keeping up to date with the latest trends across the AI world to ensure building at the edge of new capabilities.
MY
Marvin Y.
Oct 22, 2025
Lila AI (Alpha Version)
Abid delivered good work for our project. Punctual. Responsive. Resourceful. Great Communication.
AS
Aidan S.
Oct 7, 2025
Building AI Features
Abid was great! Super diligent at his craft and wonderful to have on the team.
JH
Jack H.
Apr 8, 2025
PropTech API LLM Bot
About Abid
AI Developer | LLM Agents, RAG, Automation | LangGraph, LangChain, n8n
100%
Job Success
Bangkok, Thailand - 11:20 pm local time
Most AI projects die at the same point: the demo works, then it meets real users and real edge cases. My systems ship with guardrails, human approval steps, and escalation logic, orchestrated in LangGraph and the Claude Agent SDK, running daily without babysitting.
RECENT WORK
Multi-agent contract analysis pipeline and email assistant for a music industry client. Specialized agents handling contract language and deal terms under a LangGraph supervisor on GCP Cloud Run, with RAG over the client's deal corpus. Document review that took hours per contract now takes minutes.
ReserveNova - an AI-native hospitality booking platform I designed, built, and shipped end to end in TypeScript and Next.js, with conversational AI agents live on WhatsApp, Instagram, and Line.
WHAT I BUILD
AI agents and multi-agent systems - LangGraph, LangChain, CrewAI, Claude Agent SDK, OpenAI Agents SDK, MCP servers for tool access. For workflows too complex for a single prompt.
RAG pipelines and semantic search - Pinecone, PGVector, ChromaDB, Qdrant. Chunking, reranking, and evaluation that holds retrieval accuracy as the corpus grows past the toy stage.
AI chatbot development - WhatsApp, Instagram, Line, Slack, and web. Real memory, answers grounded in your knowledge base so they don't invent things, clean handoff to a human when confidence drops.
Document intelligence and unstructured data - contract analysis, invoice and form extraction, OCR cleanup, structured JSON out of messy PDFs, emails, and scanned files. This is where most of my 60+ projects have lived.
AI integration and workflow automation - n8n, Make (formerly Integromat), Zapier, and custom Python where no-code hits its ceiling. Lead capture and qualification, CRM updates, email and document processing. Anything that writes to your real data goes through an approval step first.
CRM and API integration - GoHighLevel, Follow Up Boss, Gmail and Google Workspace, plus third-party REST and webhook work against whatever stack you already run.
End-to-end AI app development - prompt engineering, model selection across Claude, GPT, and Gemini, FastAPI and Node backends, React/Next.js frontends, PostgreSQL and Supabase, Docker.
HOW I WORK
Architecture before code. You get a working prototype in 48 to 72 hours so you can validate direction early, then we harden it toward production: error handling, evaluation, logging, observability. Everything runs in your accounts, documented well enough that your team can maintain it without me. You own all of it at handoff.
My background runs deeper than the LLM wave. Years of hands-on NLP with transformers and spaCy before agents became a trend, which is why these pipelines handle messy real-world language instead of breaking on it.
Stack: Python, TypeScript, Node.js, React, Next.js, LangGraph, LangChain, LlamaIndex, CrewAI, Claude API, OpenAI API, Gemini API, MCP, Pinecone, PGVector, ChromaDB, n8n, FastAPI, PostgreSQL, Supabase, Docker, GCP Cloud Run, AWS Lambda.
If you're building an AI product from scratch, adding agents or RAG to an existing app, or drowning in a document-heavy workflow, send an invite and tell me what you're trying to build. I'll tell you honestly whether it's a fit.
Steps for completing your project
After purchasing the project, send requirements so Abid can start the project.
Delivery time starts when Abid receives requirements from you.
Abid works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Requirements
Understand your business goals, existing workflows, technical requirements, and define the project scope.
Solution Architecture
Design the AI system architecture, agent workflows, integrations, and technology stack for scalability.