You will get RAG Architecture Integration (Enterprise-Grade)
Project details
We build production-grade AI systems.
I am an AI Engineer, not a prompt-engineer, vibe coder, or experimental freelancer. Our systems are already used by thousands of users and trusted by enterprises, which shapes how we design every RAG architecture.
What sets us apart:
– Built for scale, not experiments
– Real traffic
– Low latency
– Cost-controlled systems
That made me unique:
– Strict grounding & low hallucination
– Answers generated only from your data
– Citations and fallbacks
Product-first engineering – monitoring, evaluation, versioning, and future scalability built in
Enterprise-ready by default – security, access control, observability, and clean system boundaries
Battle-tested experience – SaaS platforms, internal tools, customer support, analytics, and decision systems
If you want a RAG system that can ship, scale, and be trusted in production, this is exactly what we deliver.
I am an AI Engineer, not a prompt-engineer, vibe coder, or experimental freelancer. Our systems are already used by thousands of users and trusted by enterprises, which shapes how we design every RAG architecture.
What sets us apart:
– Built for scale, not experiments
– Real traffic
– Low latency
– Cost-controlled systems
That made me unique:
– Strict grounding & low hallucination
– Answers generated only from your data
– Citations and fallbacks
Product-first engineering – monitoring, evaluation, versioning, and future scalability built in
Enterprise-ready by default – security, access control, observability, and clean system boundaries
Battle-tested experience – SaaS platforms, internal tools, customer support, analytics, and decision systems
If you want a RAG system that can ship, scale, and be trusted in production, this is exactly what we deliver.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Mobile App Development, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, LLaMAWhat's included
| Service Tiers |
Starter
$500
|
Standard
$800
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 25 days |
Number of Revisions | 1 | 3 | 5 |
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 |
About Haseeb
AI Engineer | RAG Chatbots | AI Agents | LangGraph | OpenAI
Lahore, Pakistan - 8:47 pm local time
I help businesses turn AI into measurable outcomes, not demos. My focus is simple: deliver automation and decision support that fit your operations, protect your data, and keep costs, ownership, and long-term maintainability under control.
Unlocked $1,00,000+ in savings and $5,000,000+ in raised capital for clients as an AI Engineer.
𝐂𝐚𝐫𝐞𝐞𝐫 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
🎯𝐒𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 — Developed a fully modular and autonomous control architecture-based AI System (Startup NASA Feature Series).
🎯𝐒𝐭𝐚𝐫𝐨𝐧 𝐀𝐈 (𝐋𝐨𝐯𝐚𝐛𝐥𝐞 𝐂𝐥𝐨𝐧𝐞) — Agentic-AI platform serving 50,000+ users and reduces frontend delivery time by 40–60% through one-prompt code generation.
🎯𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐦𝐩𝐚𝐜𝐭 — 20% reduction in inventory costs and a 18% increase in sales achieved within the last 2 years through close collaboration with a Business Analyst team.
🎯𝗥𝗔𝗚 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 — I build RAG pipelines that connect language models to company documents, internal knowledge bases, CRM systems, and business databases.
🎯𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧—5 times international presenter delivering AI-based healthcare solutions that achieved over 90% diagnostic accuracy while reducing system latency by 40%.
If you have read this far, please note that I appreciate you taking the time to learn about me. Personally, it’s been an amazing journey and knowledge exercise to get to this level of competence in AI and software development.
𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐈 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡:
You’re already ahead—You're likely here because you have a powerful vision for AI. Now you just need someone who can turn that idea into a working solution, not a “nice demo.
So I will serve you to build an AI solution tailored to your needs by following the path:
𝐏𝐚𝐭𝐡: 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 & 𝐌𝐚𝐫𝐤𝐞𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 →𝐏𝐫𝐨𝐨𝐟 𝐨𝐟 𝐂𝐨𝐧𝐜𝐞𝐩𝐭 𝐨𝐧 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐈𝐝𝐞𝐚 → 𝐃𝐚𝐭𝐚/𝐅𝐞𝐚𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐂𝐡𝐞𝐜𝐤 → 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐃𝐞𝐬𝐢𝐠𝐧 𝐀𝐈 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞 𝐰𝐢𝐭𝐡𝐢𝐧 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐬𝐢𝐧𝐞𝐬𝐬 → 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐏𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 (𝐌𝐕𝐏) → 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 & 𝐊𝐏𝐈𝐬 → 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 → 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐈𝐭𝐞𝐫𝐚𝐭𝐢𝐨𝐧
𝐌𝐲 𝐭𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤:
- 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, C/C++
- 𝐌𝐋/𝐃𝐋: PyTorch, TensorFlow
- 𝐋𝐋𝐌𝐬: OpenAI, Anthropic (Claude), Llama + open-weight models
- 𝐆𝐞𝐧𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬:: LangChain, LangGraph, LlamaIndex
- 𝐀𝐠𝐞𝐧𝐭𝐬: AutoGen, CrewAI, LangGraph
- 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈: Whisper, Vapi, STT/TTS pipelines
- 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁: Pinecone, Qdrant, PG vector, Weaviate
- 𝐁𝐚𝐜𝐤𝐞𝐧𝐝/𝐀𝐏𝐈𝐬: FastAPI, REST APIs, Webhooks
- 𝐌𝐋𝐎𝐩𝐬/𝐎𝐩𝐬: MLflow, Git, Docker
- 𝐂𝐥𝐨𝐮𝐝: AWS, Azure, GCP (RunPod, Heroku when needed)
- 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Web, Slack, Telegram, WhatsApp, Instagram, Facebook Messenger
- 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make
𝐖𝐡𝐲 𝐓𝐞𝐚𝐦𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐔𝐬
✅ Proven AI & Product Experience – not just prototypes, we ship in production
✅ Startup-Minded Speed – we build like cofounders, not contractors
✅ Enterprise-Grade Quality – security, compliance, uptime built-in
✅ Transparent Estimates – no surprises, every milestone defined
✅ Expert-Led Team – Developers + Bussiness Analysts + Project Mangers & product specialists
💬 𝐋𝐞𝐭’𝐬 𝐓𝐚𝐥𝐤
I usually respond within minutes.
Whether you’re building a new AI product or scaling an existing one — let’s make it production-ready.
📩 Message me today and let’s bring your AI vision to life.
Steps for completing your project
After purchasing the project, send requirements so Haseeb can start the project.
Delivery time starts when Haseeb receives requirements from you.
Haseeb works on your project following the steps below.
Revisions may occur after the delivery date.
Initial consultation
To understand the use case
Requirement gathering
We will need requirements such as data format to start embedding and create the pipeline