You will get Design & Optimization for your database
Rising Talent
Rising Talent
Project details
Is your database slowing down as your data grows?
I design scalable PostgreSQL databases from scratch clean schema architecture, proper indexing, SQLAlchemy ORM setup, and Alembic migration management so your system stays fast and stable no matter how large your data gets. Built right the first time.
I design scalable PostgreSQL databases from scratch clean schema architecture, proper indexing, SQLAlchemy ORM setup, and Alembic migration management so your system stays fast and stable no matter how large your data gets. Built right the first time.
Database Type
MySQL, SQLite, PostgreSQLWhat's included $199
These options are included with the project scope.
$199
- Delivery Time 4 days
- Number of Revisions 3
- Source Code
Optional add-ons
You can add these on the next page.
Fast 2 Days Delivery
+$30
Additional Revision
+$4
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UR
Uzma R.
Aug 7, 2026
AI Agent Development with LangChain, RAG & Python Backend
Ibrahim built exactly what we needed and delivered it on time. He took the time to understand our requirements before writing any code, which meant the agent worked properly from the first version instead of needing rounds of fixes. The LangChain implementation was clean and well documented
UR
Uzma R.
Jul 2, 2026
Senior Backend & AI Engineer for LLM Agent Orchestration
Work was delivered as we we needed
JL
June L.
Jun 30, 2026
Data Crawling & Scrapping of a website
I have a great time working with Muhammad Ibrahim
he is quick to the solution , fast , easily accessible
we dont communicate much but the work is delivered in a timely manner, and no supervision needed
i would definitely recommend him to others who want to use his service.
Thanks for your great & fast work.
he is quick to the solution , fast , easily accessible
we dont communicate much but the work is delivered in a timely manner, and no supervision needed
i would definitely recommend him to others who want to use his service.
Thanks for your great & fast work.
AM
App M.
May 29, 2026
Build a Working Python Desktop Automation Tool for Clash of Clans (Windows + Phone Link)
HA
Hammad A.
May 10, 2026
Software Data Developer
Passionate and eager to learn about the project scope, requirements and domain.
About Muhammad Ibrahim
AI Agent Developer | LangChain, LangGraph, RAG & Python Backend
100%
Job Success
Attock City, Pakistan - 8:54 pm local time
What I build:
Multi-agent systems: supervisor architectures that route work across specialized sub-agents, with typed state passed cleanly between steps, retries when a step fails, and conditional routing based on what actually happened not a fixed script pretending to be intelligent
Tool-calling agents: agents that take real actions querying a database, hitting a third-party API, running a calculation deciding per-request which tool to use rather than following one rigid path
RAG systems: retrieval grounded in your own data so answers cite where they came from instead of guessing, with the chunking and retrieval strategy actually thought through, not just thrown into a vector store and hoped for
Human-in-the-loop workflows: an approval step before anything final executes, so you get the speed of automation without losing control over what actually happens
Production backend: FastAPI, PostgreSQL, Pydantic-enforced structured output, Docker so what you get keeps running after launch, not a notebook that worked once
Recent work:
Delivered a LangChain AI agent with a RAG layer and FastAPI backend. Client's words: "Ibrahim built exactly what we needed and delivered it on time. He took the time to understand our requirements before writing any code, which meant the agent worked properly from the start." 5 stars.
Delivered an LLM agent orchestration system with tool-calling and structured output "work was delivered as we needed." 5 stars.
Built Veridian, a real estate AI agent running on Groq's Llama 3.3 70B that answers questions by querying a live property database, searching the web, and running finance calculators with direct tool-calling instead of a heavier agent framework, specifically so it doesn't break every time an upstream library changes.
Built AISLE, a retail agent that monitors inventory and pricing signals, reasons about what needs attention, and proposes actions reorder this, adjust that price through a human approval step before anything executes.
Engineered a fully offline digital examination platform for NASTP (National Aerospace Science and Technology Park), handling 100+ concurrent sessions with zero internet dependency the same reliability bar I hold agent systems to.
What I specialize in:
AI Agent Development: tool-calling agents, LangGraph supervisor patterns, multi-agent orchestration, state management, conditional routing, human-in-the-loop approval gates
RAG + Retrieval: document ingestion, chunking, retrieval strategy, citation-grounding, hallucination control
Backend Engineering: FastAPI, PostgreSQL, SQLAlchemy, Docker, REST API design, Pydantic-enforced structured output
Automation: workflow automation, API integrations, data pipelines that feed an agent's context
My stack:
AI/LLM — LangChain, LangGraph, RAG, tool-calling, prompt engineering, OpenAI API, Anthropic Claude API, Azure OpenAI, vector databases (Pinecone, Chroma, FAISS)
Backend — Python, FastAPI, REST APIs, Pydantic, PostgreSQL, SQLAlchemy, Docker
Data — ETL pipelines, web scraping (Playwright, BeautifulSoup), Pandas
If you need an agent that takes real actions, a RAG system that answers from your actual data, or automation that removes manual work and it needs to run in production, not just pass a demo send me a message. I respond within 4 hours.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Ibrahim can start the project.
Delivery time starts when Muhammad Ibrahim receives requirements from you.
Muhammad Ibrahim works on your project following the steps below.
Revisions may occur after the delivery date.
you will share your project details and any existing database files
Then I'll design the full PostgreSQL schema, set up SQLAlchemy ORM and Alembic migrations, optimise indexes, and deliver everything with clear documentation.