You will get Website RAG Chatbot with citations (Python + Vector DB)

Ahmad I.Status: Offline
Ahmad I. Ahmad I.
5.0
Top Rated

Let a pro handle the details

Buy Machine Learning services from Ahmad, priced and ready to go.
Ahmad I.Status: Offline
Ahmad I. Ahmad I.
5.0
Top Rated

Let a pro handle the details

Buy Machine Learning services from Ahmad, priced and ready to go.

Project details

I will build a production-ready FastAPI microservice that’s Docker-ready and easy to run locally or deploy. You’ll get clean REST endpoints, OpenAPI/Swagger docs, structured request/response models, and a simple project layout that your team can maintain. I also include basic auth (if needed), input validation, logging, and tests so you’re not shipping “it works on my machine” code. Final delivery includes Dockerfile + docker-compose, environment config template, and a short runbook so you can start it with one command and hand it off confidently.
Machine Learning Tools
Apache Spark, BERT, ChatGPT, MLflow, NLTK, NumPy, pandas, Python, PyTorch, SQL, Tesseract OCR, Vertex AI
What's included
Service Tiers Starter
$150
Standard
$300
Advanced
$500
Delivery Time 3 days 5 days 10 days
Number of Revisions
233
Number of Model Variations
123
Number of Scenarios
123
Number of Graphs/Charts
000
Model Validation/Testing
Model Documentation
Data Source Connectivity
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$40 - $120
Additional Revision
+$25
Additional Model Variation (+ 1 Day)
+$60
Additional Scenario (+ 1 Day)
+$40
Extra Data Source Connect (+ 2 Days)
+$120
Deploy + Handover Pack (+ 2 Days)
+$150

Frequently asked questions

5.0
19 reviews
100% Complete
1% Complete
(0)
1% Complete
(0)
1% Complete
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1% Complete
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MS

Muhammad S.
5.00
Aug 4, 2026
Senior AI Python Engineer for Pharmaceutical Regulatory Intelligence & Drug Safety Platform Ahmad delivered outstanding work with strong AI and Python expertise, excellent communication, and timely delivery—highly recommended.

JA

James A.
5.00
Jul 30, 2026
AI Automation Expert for Logistics Dispatch & Shipment Update Workflow We are extremely pleased with the quality of work provided. The freelancer was patient, responsive, and dedicated to delivering the best possible results.

TA

Tahira A.
5.00
Jul 3, 2026
Al Voice Agent Developer Needed for Inbound & Outbound Call Automation Great work, the AI call automation was completed smoothly and worked exactly as needed.

GY

Ghulam Y.
5.00
Jun 11, 2026
Senior AI Python Engineer needed for Enterprise Threat Detection & Security Intelligence Platform Ahmad is an outstanding Senior AI Python Engineer whose deep expertise in AI, cybersecurity, and scalable enterprise solutions resulted in a high-performance Security Intelligence Platform that exceeded all expectations.

DS

David S.
5.00
Jun 4, 2026
Build Multi-Tenant Fintech AI SaaS Platform for Financial Operations & Workflow Automation Great work on our fintech platform. He built a solid backend, handled multi-tenant setup and AI automation really well, and improved our overall workflow. Communication was smooth and delivery was reliable. Would work again.
Ahmad I.Status: Offline

About Ahmad

Ahmad I.Status: Offline
AI Python Engineer | RAG Chatbots + Agents | LangChain, FastAPI, SQL
100% Job Success
5.0  (19 reviews)
Bahawalpur, Pakistan - 6:51 am local time
I’m a Python AI Engineer focused on RAG chatbots, tool-calling agents, and workflow automation. I help teams turn messy documents and scattered data into reliable features that people can use every day — with validation, retries, and clear logging so results stay consistent after launch.

Typical work I deliver:

RAG assistants for docs/knowledge bases (embeddings, vector DB, citations, metadata filtering)
AI agents that call tools (APIs, SQL/Postgres, webhooks) to complete multi-step workflows with guardrails + fallbacks
FastAPI backends for AI products (structured JSON responses, background jobs, clean integration)
Data extraction pipelines when needed (OCR + parsing + normalization)

How I build it (so it doesn’t break later):

Start with a small first milestone: one end-to-end flow on your real examples
Add measurable checks: retrieval quality, schema validation, safe SQL/tool execution, and “I don’t know” behavior when context is missing
Keep cost + latency practical: caching where it helps, prompt versioning, and predictable output schemas
Ship with maintainability: clean code, Dockerized setup, and a short runbook your team can operate

Stack I work with: Python, FastAPI, LangChain/LangGraph, OpenAI-compatible LLMs, SQL/PostgreSQL, Docker, and vector databases (FAISS/pgvector/Pinecone-style). I can also support ML/DL (PyTorch) and computer vision when the project needs it, but my day-to-day work is building LLM systems that integrate into real products.

If you share your brief + sample data, I’ll propose a practical first milestone, timeline, and what “done” looks like. I’m comfortable with self-hosted setups (privacy constraints), and can deploy on Docker/cloud as required. I also add basic monitoring hooks so failures surface early (logs, alerts, and simple dashboards). Open to a quick call to align on scope and success metrics.

Steps for completing your project

After purchasing the project, send requirements so Ahmad can start the project.

Delivery time starts when Ahmad receives requirements from you.

Ahmad works on your project following the steps below.

Revisions may occur after the delivery date.

Scope + Success Criteria

Confirm sources, target pages, tone, and “done” metrics (accuracy, completeness, latency).

Ingestion + Index Setup

Clean text, chunking strategy, embeddings, and vector DB setup (with metadata + filters).

Review the work, release payment, and leave feedback to Ahmad.