You will get I will build an AI agent or LLM automation with Python and OpenAI
Project details
You will get a custom AI agent that doesn't just chat — it reasons, calls your tools and APIs, and gets real work done.
I'm a Senior AI Engineer with 13+ years of experience. My current work includes a multi-agent banking assistant handling transfers, payments, and insights for 2M+ users, plus automations that cut incident resolution time by 60% and document handling by 50%.
I'll build an agent that automates your workflow end to end: classify and route requests, call your CRM/database/APIs, process documents, run research, or trigger multi-step tasks — with safe guardrails so it only does what it's approved to do. Built in Python + FastAPI with OpenAI or Azure OpenAI, deployable to your cloud.
Clear communication, production-quality code, and on-time delivery. Tell me the workflow you want automated and I'll map out exactly how an agent would handle it.
I'm a Senior AI Engineer with 13+ years of experience. My current work includes a multi-agent banking assistant handling transfers, payments, and insights for 2M+ users, plus automations that cut incident resolution time by 60% and document handling by 50%.
I'll build an agent that automates your workflow end to end: classify and route requests, call your CRM/database/APIs, process documents, run research, or trigger multi-step tasks — with safe guardrails so it only does what it's approved to do. Built in Python + FastAPI with OpenAI or Azure OpenAI, deployable to your cloud.
Clear communication, production-quality code, and on-time delivery. Tell me the workflow you want automated and I'll map out exactly how an agent would handle it.
AI Development Type
Knowledge Representation, Model TuningAI Tools
Keras, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Frequently asked questions
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AS
Amazing Strategic S.
May 31, 2019
Tableau Visualizations for forecast
He has a very good turnaround time and is creative. I will not hesitate to hire him again.
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faisal f.
Apr 15, 2019
Explaining machine learning
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faisal f.
Apr 7, 2019
explain python script for one hour
AS
Amazing Strategic S.
Jan 23, 2019
Expert in Time Series forecasting using python or R
About Suchit
Senior GenAI Engineer | RAG, LLM Agents & AI Safety | Azure OpenAI
Abu Dhabi, United Arab Emirates - 3:28 am local time
I build production-grade GenAI applications that real businesses depend on. Right now I'm architecting a GenAI banking chatbot for one of the UAE's largest banks — serving 2M+ customers with multi-agent orchestration, RAG, real-time streaming, and a hardened LLM safety layer that passed all 638 cases in an external penetration test.
If you need an LLM feature shipped properly — not a demo that breaks in production — I can help.
What I build for clients:
• RAG pipelines — Azure Cognitive Search / vector DBs + Azure OpenAI for accurate retrieval over your documents and knowledge base
• AI agents & multi-agent systems — intent classification, tool/action routing, MCP integration for secure operations
• LLM safety & red teaming — guardrails, jailbreak & prompt-injection defense, security hardening
• Chatbots & assistants — FastAPI + SSE streaming, multilingual (incl. full Arabic), live-agent handoff
• Document AI — Talk2Doc, OCR, classification, NER/clause extraction (LangChain, BERT, Tesseract)
Tech: Python · Azure OpenAI · LangChain · FastAPI · RAG · Vector Databases · Prompt Engineering · Generative AI · LLM · Docker · Redis · MongoDB · GCP/Azure · PySpark · SQL
Track record: Delivered AI products across Banking, Finance, and Telecom (ADCB, Credit Suisse, Vodafone, Wipro) serving 2M+ users — including a document automation suite processing 1,000+ docs/month and an incident-management AI that cut resolution time 60%.
I communicate clearly, deliver on time, and care about production quality: reliability, security, and cost. Message me with what you're trying to build and I'll tell you honestly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Suchit can start the project.
Delivery time starts when Suchit receives requirements from you.
Suchit works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & scope
I map your workflow, confirm the tools/APIs involved, and design the agent's logic.
Agent build
I build the reasoning logic, tool/function calling, and integrations in Python + FastAPI.