You will get AI-powered RAG & multi-agent systems to automate and optimize tasks
Top Rated
Top Rated
Project details
Turn your data into action. My RAG & multi-agent AI systems collaborate in real time to automate workflows, answer complex queries, and deliver insights instantly.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, TensorFlowAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 1 day |
Number of Revisions | 3 | 5 | 11 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
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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JD
Jesse D.
May 15, 2026
AI Chatbot / Automation Developer
Afnan was responsive and showed solid familiarity with AI/LLM concepts, especially RAG systems, vector databases, Langfuse/Ragas-style evaluation, and scraping/automation workflows. He used AI to help with
marketing data and content decisions, including LinkedIn/content strategy and response ideas.
Our strongest conversations with him were around RAG, chatbot architecture, and LLM tooling. I would consider him for AI/LLM prototyping, research-oriented technical work, and AI-assisted content or data workflows.
marketing data and content decisions, including LinkedIn/content strategy and response ideas.
Our strongest conversations with him were around RAG, chatbot architecture, and LLM tooling. I would consider him for AI/LLM prototyping, research-oriented technical work, and AI-assisted content or data workflows.
BT
Brett T.
Apr 11, 2026
Vibe Coder Needed to Build Web Apps in Lovable (No-Code Platform) — $6.50/hr Starting
FF
Francis F.
Mar 30, 2026
AI & Marketing Manager
Afnan did an excellent job managing AI and marketing tasks with clear strategy and execution. He was proactive, communicative, and easy to work with.
FF
Francis F.
Mar 30, 2026
Developer
Afnan delivered high quality development work with great attention to detail and professionalism. Communication was smooth and the project was completed exactly as expected.
FF
Francis F.
Mar 30, 2026
Developer
Afnan was reliable and efficient throughout the project, consistently delivering solid results. His responsiveness and problem-solving skills made the collaboration seamless.
About Afnan
AI/ML Engineer / LLMs / Computer Vision / End-to-End GenAI Solutions
100%
Job Success
Islamabad, Pakistan - 3:46 pm local time
⭐ What I Can Do for You
🔹 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 & 𝘿𝙚𝙚𝙥 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜
-Predictive models (classification, regression, forecasting)
-Model training, tuning & optimization
-Recommendation systems
-End-to-end ML pipelines
🔹 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 (𝙇𝙇𝙈𝙨) & 𝙉𝙇𝙋
-Custom AI Assistants & Chatbots
-RAG Pipelines (LLMs + your documents)
-Embeddings, vector databases, prompt engineering
-LangChain / HuggingFace powered workflows
🔹 𝘾𝙤𝙢𝙥𝙪𝙩𝙚𝙧 𝙑𝙞𝙨𝙞𝙤𝙣
-Object detection & tracking (YOLOv5/v8)
-Image classification & segmentation
-OCR & document vision
-Real-time image/video processing
🔹 𝘼𝙄 𝘽𝙖𝙘𝙠𝙚𝙣𝙙𝙨 & 𝙄𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣
-FastAPI / Flask ML model APIs
-Server deployment with Docker
-AI automations & workflow orchestration
-Frontend integrations (React, Node.js)
🛠 𝙏𝙚𝙘𝙝 𝙎𝙩𝙖𝙘𝙠
🤖 Machine Learning & Deep Learning
𝘚𝘤𝘪𝘬𝘪𝘵-𝘭𝘦𝘢𝘳𝘯, 𝙏𝙚𝙣𝙨𝙤𝙧𝙁𝙡𝙤𝙬, 𝙆𝙚𝙧𝙖𝙨, 𝙋𝙮𝙏𝙤𝙧𝙘𝙝
🧠 NLP & LLMs
𝙇𝙖𝙣𝙜𝘾𝙝𝙖𝙞𝙣, 𝙃𝙪𝙜𝙜𝙞𝙣𝙜𝙁𝙖𝙘𝙚 𝙏𝙧𝙖𝙣𝙨𝙛𝙤𝙧𝙢𝙚𝙧𝙨, 𝙍𝘼𝙂 𝙋𝙞𝙥𝙚𝙡𝙞𝙣𝙚𝙨, 𝙑𝙚𝙘𝙩𝙤𝙧 𝘿𝙖𝙩𝙖𝙗𝙖𝙨𝙚𝙨 (𝙁𝘼𝙄𝙎𝙎, 𝙋𝙞𝙣𝙚𝙘𝙤𝙣𝙚, 𝘾𝙝𝙧𝙤𝙢𝙖𝘿𝘽)
📷 Computer Vision
𝙊𝙥𝙚𝙣𝘾𝙑, 𝙔𝙊𝙇𝙊𝙫5 / 𝙔𝙊𝙇𝙊𝙫8, 𝙄𝙢𝙖𝙜𝙚 𝙋𝙧𝙚𝙥𝙧𝙤𝙘𝙚𝙨𝙨𝙞𝙣𝙜 𝙋𝙞𝙥𝙚𝙡𝙞𝙣𝙚𝙨
⚙️ Backend & Deployment
𝙁𝙖𝙨𝙩𝘼𝙋𝙄, 𝙁𝙡𝙖𝙨𝙠, 𝘿𝙤𝙘𝙠𝙚𝙧, 𝘿𝙞𝙜𝙞𝙩𝙖𝙡𝙊𝙘𝙚𝙖𝙣 / 𝘼𝙒𝙎
📊 Data & Visualization
𝙋𝙖𝙣𝙙𝙖𝙨, 𝙉𝙪𝙢𝙋𝙮, 𝙎𝙘𝙞𝙋𝙮, 𝙈𝙖𝙩𝙥𝙡𝙤𝙩𝙡𝙞𝙗, 𝙎𝙚𝙖𝙗𝙤𝙧𝙣
💻 Development
𝙅𝙖𝙫𝙖𝙎𝙘𝙧𝙞𝙥𝙩 / 𝙏𝙮𝙥𝙚𝙎𝙘𝙧𝙞𝙥𝙩, 𝙍𝙚𝙖𝙘𝙩, 𝙉𝙤𝙙𝙚.𝙟𝙨
🤝 𝙒𝙝𝙮 𝙒𝙤𝙧𝙠 𝙒𝙞𝙩𝙝 𝙈𝙚
✨ Quality-First Delivery – clean, optimized & reliable solutions
✨ Clear Communication – regular updates and transparency
✨ Client-Centric Approach – your success is my priority
✨ End-to-End Ownership – from idea → model → deployment
Steps for completing your project
After purchasing the project, send requirements so Afnan can start the project.
Delivery time starts when Afnan receives requirements from you.
Afnan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Planning
Review client-provided data and workflow needs, define system architecture, and plan RAG & multi-agent pipeline design.
Data Integration & Preprocessing
Collect and process client-provided documents, text data, and other sources to create embeddings and structured inputs for the AI system.