You will get an AI Chatbot ready from your data/docs
Project details
Imagine having a personalized AI chatbot that understands your questions, extracts crucial insights, and delivers accurate answers—all at your fingertips.
What we Offer:
🚀 Custom AI Chatbot
We develop a user-friendly web app equipped with an AI-powered chatbot for seamless document queries. Perfect for handling PDFs, Word docs, CSVs, and more.
🤖 Cutting-Edge Technology
We leverage Langchain and vector databases for fast, precise responses using advanced natural language processing techniques.
🔍 Efficient Document Parsing
Your chatbot will intelligently navigate through complex questions to retrieve key insights from indexed data.
Here’s What we Need from You:
▪️Your documents in any format
▪️Your OpenAI API key
What You’ll Get:
✅ A sleek MVP or POC web app built with Streamlit UI or a complete SaaS solution, using Next.js or React.
✅ Expert integration with tools like Langchain, Pinecone, ChromaDB, and more.
Tech Stack:
Python, JS, Streamlit, Next.js/React, Langchain, Pinecone, ChromaDB, Milvus, Weaviate, or Faiss, OpenAI API or LLama
💬 Have questions? Let’s chat before you place your order to ensure everything is tailored to your needs. Let's do it!
What we Offer:
🚀 Custom AI Chatbot
We develop a user-friendly web app equipped with an AI-powered chatbot for seamless document queries. Perfect for handling PDFs, Word docs, CSVs, and more.
🤖 Cutting-Edge Technology
We leverage Langchain and vector databases for fast, precise responses using advanced natural language processing techniques.
🔍 Efficient Document Parsing
Your chatbot will intelligently navigate through complex questions to retrieve key insights from indexed data.
Here’s What we Need from You:
▪️Your documents in any format
▪️Your OpenAI API key
What You’ll Get:
✅ A sleek MVP or POC web app built with Streamlit UI or a complete SaaS solution, using Next.js or React.
✅ Expert integration with tools like Langchain, Pinecone, ChromaDB, and more.
Tech Stack:
Python, JS, Streamlit, Next.js/React, Langchain, Pinecone, ChromaDB, Milvus, Weaviate, or Faiss, OpenAI API or LLama
💬 Have questions? Let’s chat before you place your order to ensure everything is tailored to your needs. Let's do it!
AI Development Type
Deep Learning, Knowledge Representation, Model TuningAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$699
|
Standard
$2,499
|
Advanced
$8,999
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 60 days |
Number of Revisions | 3 | 5 | 5 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$290 - $1,995
Additional Revision
+$195
Knowledge Transfer or Code Explanation
(+ 1 Day)
+$99
Custom Demo Video Ad
(+ 7 Days)
+$245About Muhammad Huzaifa
AI Software Engineer | LLMOps, RAG, AI Agents & Full-Stack Automation
Karachi, Pakistan - 5:44 am local time
𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆–𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 researcher. 𝗜𝗘𝗘𝗘-𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱. 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁-𝗿𝗲𝗰𝗼𝗴𝗻𝗶𝘀𝗲𝗱 ($25,000 Azure grant; fewer than 1% of applicants globally). My AI has run inside Aga Khan University Hospital. My infrastructure has held 𝟱𝟬,𝟬𝟬𝟬+ concurrent users at sub-50ms on AWS. A product I built was acquired by a South Korean technology company.
I operate at the layer most developers don't reach: production LLM systems on GPT, Claude, and Gemini · LangGraph agentic pipelines · real-time voice AI via ElevenLabs and VAPI · RAG architectures on pgvector and Pinecone · GPU inference clusters across NVIDIA A100, T4, and RTX 4090. This isn't API integration with a wrapper. It's systems engineered to hold under load, scale with your growth, and keep running after handoff.
🚀 𝗪𝗵𝗮𝘁'𝘀 𝗟𝗶𝘃𝗲 𝗶𝗻 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗶𝗴𝗵𝘁 𝗡𝗼𝘄:
• NYC Taxi Dispatch (New York): AI voice agent system using ElevenLabs Conversational AI for real-time ride dispatch and coordination across New York taxi fleet operations.
• PseudoCompiler: WebSocket platform sustaining 𝟱𝟬,𝟬𝟬𝟬+ 𝗰𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝘂𝘀𝗲𝗿𝘀 at sub-50ms latency on AWS.
• Clinical AI — Aga Khan University Hospital: Breast cancer pipeline at 𝟵𝟮% accuracy, cutting radiologist review time by 𝟴𝟳%. IEEE-published.
• ViralMe AI — Acquired : Computer vision pipeline (YOLOv12 · SAM2) at ~25 FPS. Product 𝗮𝗰𝗾𝘂𝗶𝗿𝗲𝗱 𝗯𝘆 𝗮 𝗦𝗼𝘂𝘁𝗵 𝗞𝗼𝗿𝗲𝗮𝗻 𝘁𝗲𝗰𝗵 𝗰𝗼𝗺𝗽𝗮𝗻𝘆. Managed 20 NVIDIA T4s on Azure + A100 cluster.
• Staging Pro: IoT backend at ~100ms latency for live sports telemetry. 𝗟𝗶𝘃𝗲 𝗼𝗻 𝗶𝗢𝗦 𝗔𝗽𝗽 𝗦𝘁𝗼𝗿𝗲.
• OptyAI: AI recommendation engine delivering ~𝟳𝟬% 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝘂𝗽𝗹𝗶𝗳𝘁 on iOS.
• COVID-19 Detection: 89% accuracy prototype under Stanford University supervision at Virufy.
⚙️ 𝗙𝗿𝗼𝗻𝘁𝗶𝗲𝗿 𝗧𝗲𝗰𝗵, 𝗡𝗼𝘁 𝗬𝗲𝘀𝘁𝗲𝗿𝗱𝗮𝘆'𝘀 𝗦𝘁𝗮𝗰𝗸:
• 𝗟𝗟𝗠𝘀 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜: OpenAI GPT · Claude · Gemini/Gemma · LangChain · LangGraph · CrewAI · RAG Pipelines · n8n · Ollama
• 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: ElevenLabs · VAPI · Retell AI · Whisper · WebRTC · LiveKit
• 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗠𝗟: YOLO11x · OpenCV · SAM2 · DeepSORT · ByteTrack · PyTorch · TensorFlow · PEFT/LoRA · Unsloth
• 𝗜𝗻𝗳𝗿𝗮: AWS (EC2 · Lambda · SageMaker · S3) · Docker · Kubernetes · Kafka · Redis · PostgreSQL · MongoDB
• 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: FastAPI · Django · Node.js · WebSocket · RabbitMQ
• 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React · Next.js · Flutter
📈 𝗛𝗶𝗴𝗵-𝗦𝘁𝗮𝗸𝗲𝘀 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜'𝘃𝗲 𝗦𝗼𝗹𝘃𝗲𝗱:
• Real-time scale: 50,000+ concurrent users at sub-50ms on AWS WebSocket infrastructure
• Clinical AI: 92% accuracy + 87% reduction in specialist review time, hospital-deployed
• Production inference: A100/T4/RTX 4090 GPU clusters for AI video at scale
• Agentic automation: RAG + n8n pipelines that cut 8+ engineering hours per week
• On-device AI: Quantised LLM inference for IoT hardware (Ollama · PyTorch)
🔬 𝗖𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗧𝗵𝗮𝘁 𝗔𝗿𝗲𝗻'𝘁 𝗖𝗼𝗺𝗺𝗼𝗻 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸:
• 𝗜𝗘𝗘𝗘 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱: GCWOT'23 (University of Málaga, Spain) + IMTIC'23; peer-reviewed conference papers on ML and computer vision
• 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗳𝗼𝗿 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀: $25,000 Azure grant — awarded to fewer than 1% of applicants globally
• 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗔𝘂𝘁𝗵𝗼𝗿: PyKids — technical book on Python programming (ISBN: 9798390752586)
• 𝗔𝗜 𝗘𝗱𝘂𝗰𝗮𝘁𝗼𝗿: Designed and delivered ML programmes to 𝟭,𝟬𝟬𝟬+ 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 across Pakistan — one of the country's largest grassroots AI education initiatives
• 𝗚𝗼𝗼𝗴𝗹𝗲 𝗗𝗦𝗖 𝗟𝗲𝗮𝗱 + 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗦𝘁𝘂𝗱𝗲𝗻𝘁 𝗔𝗺𝗯𝗮𝘀𝘀𝗮𝗱𝗼𝗿: Competitively selected by both companies; delivered 150+ workshops
✅ 𝗕𝗘𝗦𝗧 𝗙𝗢𝗥 𝗬𝗢𝗨 𝗜𝗙:
You need AI that holds up under real load not a demo that breaks at user #1
You want an engineer who pushes back when an approach won't scale
You value clear weekly updates, documented handoffs, and no surprises
You're building something that needs to actually ship
❌ 𝗡𝗢𝗧 𝗙𝗢𝗥 𝗬𝗢𝗨 𝗜𝗙:
You're deciding purely on the lowest rate
You want a full scoped build in a week with zero requirements ready
You'd rather skip the technical conversation and just get code written
Steps for completing your project
After purchasing the project, send requirements so Muhammad Huzaifa can start the project.
Delivery time starts when Muhammad Huzaifa receives requirements from you.
Muhammad Huzaifa works on your project following the steps below.
Revisions may occur after the delivery date.
What type of documents will the chatbot need to process?
PDF, DOC/DOCX, Text or Mark Down Files, CSV, Excell Sheet (XLS/XLSX), Other