You will get a finetuned LLM for your business/need to generate text or Image

Atta R.Status: Offline
Atta R. Atta R.
5.0

Let a pro handle the details

Buy Generative AI services from Atta, priced and ready to go.
Atta R.Status: Offline
Atta R. Atta R.
5.0

Let a pro handle the details

Buy Generative AI services from Atta, priced and ready to go.

Project details

As an AI Engineer with 3 years of practical experience, I offer end-to-end solutions using fine-tuned Large Language Models (LLMs) tailored to your business needs. Deliverables can include:

Fine-tuned LLMs (GPT-4, LLaMA, etc.) for advanced text generation and custom business tasks

Retrieval-Augmented Generation (RAG) pipelines for improved context-aware chatbot performance

Image generation models using Stable Diffusion or similar, trained for brand-aligned visual outputs

Business automation workflows powered by Python, APIs, and intelligent prompts

Full documentation, deployment scripts, and ongoing support if needed

Why Work With Me:
BSc in Artificial Intelligence from the University of Edinburgh

3 years of experience at Meta AI, building real-world AI tools

Expertise in Python, Hugging Face, LangChain, PyTorch, Docker, and cloud deployment

Strong background in chatbot design, fine-tuning models, RAG systems, and automation

Proven ability to deliver scalable, production-ready solutions
AI Algorithms
Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI-Generated Code, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Tools
GitHub Copilot, Gradio, Hugging Face, Microsoft CNTK, PyTorch, Streamlit, TensorFlow
AI Models
BERT, ChatGPT, GPT-3, GPT-Neo, LaMDA, LLaMA, Stable Diffusion

What's included $50

These options are included with the project scope.

$50
  • Delivery Time 4 days
  • Number of Revisions 100
    • AI Model Integration
    • Database Integration
    • Detailed Code Comments
    • Image Upscaling
    • Model Deployment
    • Model Testing & Optimization
    • Model Tuning
    • Natural Language Processing
    • NLP Tokenization
    • Pre-Training
    • Prompt Engineering
    • Setup File
    • Source Code

Frequently asked questions

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MH

Mubashir H.
5.00
Apr 6, 2026
AI Chatbot Developer for Voice-Enabled Assistant Honestly one of the best freelancers I've worked with. I had a rough idea of what I wanted and Atta turned it into a fully working product. The chatbot answers from my documents perfectly and the voice feature is a nice touch. Very professional, responsive, and knows his stuff. Highly recommend!
Atta R.Status: Offline

About Atta

Atta R.Status: Offline
AI Chatbot Developer | RAG Expert | AI Voice Agents | LangChain
5.0  (1 review)
Haripur, Pakistan - 4:24 pm local time
I build AI chatbots and assistants that answer from YOUR data — accurately, without hallucinations, ready for production.

5+ years in AI/ML. MS in Artificial Intelligence (NUST). I architect production AI systems for enterprise clients in regulated industries. Every solution survives real-world production pressure — not just a demo call.

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✅ What I Build
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▸ Custom AI Chatbots — Trained on your docs, website, or database. For customer support, sales, lead capture, or internal ops. Not a ChatGPT wrapper — a production system with guardrails, fallback logic, context memory, and real accuracy. Built to handle thousands of queries without breaking or hallucinating.

▸ RAG Systems — Your chatbot pulls verified answers from PDFs, knowledge bases, and internal documents instead of making things up. I architect retrieval pipelines handling compliance-grade document volumes with sub-millisecond query latency. 50 pages or 50,000 — built to scale.

▸ AI Voice Agents — End-to-end STT/TTS pipelines with under 200ms response time. Inbound calls, appointment booking, lead generation, customer service — natural-sounding, not robotic. Built on Vapi.ai, ElevenLabs, Whisper, Deepgram.

▸ Multi-Agent AI Systems — Intelligent orchestrators routing user intents to specialized sub-agents. 3+ domain-specific agents collaborate. Deployable on fully local infrastructure for 100% data privacy.

▸ Full-Stack AI Products — End-to-end delivery: LLM logic, FastAPI backend, frontend, cloud deployment. One person instead of three freelancers.

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✅ Why Clients Choose Me
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▸ Enterprise AI, not hobby projects — I architect production AI for regulated-industry clients daily. Real users, real edge cases, real compliance.

▸ Production-grade, not demo-grade — My chatbots don't just work in a screen recording. They go live and keep working months later.

▸ True end-to-end delivery — Architecture, LLM selection, prompt engineering, backend, frontend, testing, deployment, post-launch support. One invoice, zero coordination headaches.

▸ Academic rigor (MS in AI, NUST) — I diagnose hallucination, retrieval, and latency at root cause — embedding model, chunking strategy, retrieval logic — not band-aid prompts.

▸ Built for regulated industries — Fully local LLM infrastructure (Llama 3.1 + FAISS) where data never leaves the client's servers. Fintech, healthcare, legal, compliance.

▸ Fast, clear communication — Response within hours.

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✅ Featured Projects
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▸ Faith-Based Finance Multi-Agent Assistant — Supervisor agent routing intents to 3 domain-specific sub-agents. Fully local infrastructure (Llama 3.1 + FAISS). Zero data leaves the server.

▸ Real-Time Conversational Voice Agent — <200ms response, dynamic tone and prosody. Handles inbound calls, appointment booking, lead qualification autonomously. Built on Vapi. ai.

▸ Compliance Document Analyzer — Processes thousands of policy and regulatory documents using Docling and ChromaDB. Sub-millisecond query latency.

▸ DataChat (Generative BI Platform) — Natural-language analytics over CSV, Excel, PDF. No SQL, no dashboards — ask, get the answer with auto-generated visualizations.

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✅ Tech Stack
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▸ LLMs: OpenAI GPT-4o, Claude, Llama 3.1, LangChain, LangGraph, CrewAI, Hugging Face, LoRA/QLoRA Fine-tuning
▸ RAG & Vector DBs: FAISS, ChromaDB, Pinecone, Qdrant, Docling, Hybrid Search
▸ Voice AI: Vapi.ai, ElevenLabs, Whisper, Deepgram, Real-time STT/TTS
▸ Backend: Python, FastAPI, Flask, REST APIs, PostgreSQL, Redis, Docker
▸ Automation: n8n, Zapier, Make, Twilio, WhatsApp Business API
▸ Deployment: AWS, GCP, Docker, Nginx, Ollama (Local LLM)
▸ MCP & Agentic: Model Context Protocol, A2A, Multi-Agent Orchestration

Ready to build? Message me with your project details — I'll respond within hours with an honest assessment of fit, plan, timeline, and deliverables.

🔍 Keywords: AI Chatbot Developer, AI Engineer, RAG Developer, LangChain, LangGraph, AI Agent Developer, Multi-Agent Systems, Agentic AI, OpenAI GPT-4, Claude API, LLM Fine-tuning, LoRA, QLoRA, FAISS, Pinecone, ChromaDB, Qdrant, Voice AI, Conversational AI, FastAPI, Python AI Developer, Generative AI, RAG Pipeline, Document AI, Custom GPT, AI Assistant, Enterprise AI, Fintech AI, MCP Server, AI Consultant, ChatGPT Developer, NLP, Prompt Engineering, AI SaaS, n8n, Whisper, ElevenLabs, Vapi, Llama 3, Ollama, AI Integration, Chatbot Development, AI Voice Agent, AI Workflow Automation

Steps for completing your project

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

Delivery time starts when Atta receives requirements from you.

Atta works on your project following the steps below.

Revisions may occur after the delivery date.

I Deliver the project and ask if its up to the expectations of client

See if client's happy with my work.

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