You will get a Custom Agentic RAG System for your Enterprise Data
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Top Rated
Project details
I deliver high-accuracy, production-ready Generative AI solutions that turn your domain-specific data into a context-aware assistant. Having engineered RAG pipelines for HR, healthcare, and sales sectors, I ensure your AI provides precise responses while adhering to professional standards. My approach combines deep technical expertise with a focus on scalable, cloud-native deployment.
AI Algorithms
Feedforward Neural Network, Large Language Model, Multimodal Large Language Model, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Neural Machine TranslationAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$100
|
Standard
$1,000
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 21 days |
Number of Revisions | 0 | 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 | - |
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JU
Jennifer U.
Jun 1, 2026
AI Tech Integration (Growth/Entrepreneurial Mindset)
Syed was amazing.
WS
Wadih S.
Apr 24, 2026
Lead LLM Architect – Advanced RAG Pipelines, Knowledge Synthesis & API-Driven Orchestration
Working with Moonis was a fantastic experience. He took a highly complex AI architecture project and delivered a seamless, bug-free integration. He works incredibly fast, communicates perfectly, and clearly knows his stuff. Highly recommended for any complex software or integration projects.
AB
Asad B.
Apr 14, 2026
Senior AI Engineer – Agentic Systems & Multi-Agent Orchestration
I had a great experience working with Moonis. He is a true professional who delivers excellent quality work. His communication was clear and proactive, and he managed to deliver the final project well before the deadline. I would absolutely hire him again
About Syed Moonis
AI/ML Engineer | Gen AI, RAG, LLMs & Automation
100%
Job Success
Rawalpindi, Pakistan - 10:24 pm local time
If your project involves documents, transcripts, APIs, spreadsheets, dashboards, business workflows, or custom AI logic, I can help turn it into a reliable system your team can actually use.
Since 2022, I have worked across Generative AI, RAG, LLM pipelines, machine learning, workflow automation, computer vision, data analytics, and cloud deployment. My focus is simple: build AI systems that are accurate, usable, scalable, and connected to the tools your business already depends on.
What I can help you build:
• RAG / Knowledge Base Systems
Custom retrieval systems for document search, enterprise Q&A, internal assistants, technical knowledge bases, legal/corporate datasets, and domain-specific AI tools.
• LLM Agents & AI Chatbots
AI assistants and agentic workflows using OpenAI, Claude, Gemini, LangChain, LlamaIndex, vector databases, tool calling, structured outputs, and API integrations.
• AI Workflow Automation
Automation systems that connect AI models with n8n, Airtable, Google Sheets, Google Docs, Google Drive, Slack, Zoom, CRMs, webhooks, and backend services.
• Machine Learning & Predictive Systems
ML pipelines for forecasting, classification, anomaly detection, route optimization, decision support, business intelligence, and operational analytics.
• Computer Vision & GIS
Image classification, object detection, signature recognition, satellite imagery analysis, crop monitoring, geospatial dashboards, and visual intelligence systems.
• Dashboards & Internal Tools
Searchable dashboards, reporting systems, scorecards, call libraries, sales performance tools, data views, and internal AI-powered applications.
Recent project examples:
• Built a sales coaching automation system connecting Zoom, Airtable, n8n, Google Docs, Slack, and a Next.js performance dashboard.
• Built an AI Green Light PDF generator that turns raw transcripts into structured production documents.
• Built a Google GenAI thumbnail image generator for AI-assisted media asset creation.
• Built advanced RAG and agentic knowledge systems for high-accuracy document retrieval and reasoning.
• Built ML pipelines for anomaly detection, route optimization, computer vision, and geospatial monitoring.
I am a strong fit if you need someone who can think through the architecture, build the backend logic, connect the APIs, handle the AI layer, and deploy a working product — not just experiment with prompts.
Technical Stack:
Python, JavaScript, TypeScript, SQL, FastAPI, Flask, Node.js, Express.js, React, Next.js, n8n, REST APIs, Webhooks, Airtable, Zoom, Slack, Google Docs, Google Drive, PostgreSQL, OpenAI, Claude, Gemini, Google GenAI, LangChain, LlamaIndex, LangGraph, RAG, LLM Agents, Vector Databases, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, OpenCV, AWS, Docker, GitHub Actions, Vercel, Linux.
Best-fit projects:
RAG systems, AI chatbots, LLM agents, AI automation, n8n workflows, API integrations, ML models, predictive analytics, data dashboards, document automation, AI image tools, computer vision, and production-ready AI applications.
Steps for completing your project
After purchasing the project, send requirements so Syed Moonis can start the project.
Delivery time starts when Syed Moonis receives requirements from you.
Syed Moonis works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Analysis
I review your data sources and define the specific goals for your AI assistant.
Pipeline Development
I build and fine-tune the LLM architecture and vector database for maximum retrieval accuracy.