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$
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I will create rag, llm and agentic ai solutions
Mohsin Khan
About this gig
Looking for custom RAG systems, AI agents, or LLM solutions? I build enterprise-ready AI applications tailored to your business workflows.
As an AI Engineer, I turn complex data into autonomous tools that save time, reduce costs, and automate operations.
What I Offer:
- Custom RAG Chatbots: Connect private docs/databases using Pinecone, LangChain, and OpenAI/Ollama with zero hallucinations.
- AI Agents & MCP Protocols: Multi-agent systems with MCP servers for dynamic task splitting and tool integration.
- Open-Source LLMs: Local deployments with DeepSeek, LLaMA, and BERT for complete data privacy.
- Automation & Integrations: Connect n8n, Dialogflow, CRMs, and SQL databases seamlessly.
- AI Transcribers & Voice Agents: Fast, multi-language speech-to-text models.
️ Tech Stack:
- Models & Tools: OpenAI GPT-4, DeepSeek, LLaMA, LangChain, Hugging Face, PyTorch, TensorFlow
- Languages: Python, TypeScript, JavaScript, React
Why Choose Me?
- Production-ready, clean architecture
- End-to-end integration (APIs, auth, UI)
- Data privacy & security prioritized
Please message me before ordering to discuss your project requirements!
Get to know Mohsin Khan
Mohsin Khan
Professional AI,ML and Full Stack Develpper With Over 4 years of Experience
- FromPakistan
- Member sinceOct 2020
- Avg. response time1 hour
- Last delivery5 years
Languages
Urdu, English, Punjabi
Highly professional ML & A.I Engineer with over 4 years of industrial experience in the domain of AI, ML, and Data Science. Moreover i have 5 years of Web and App development. I am well versed with suystem design, data base design, creating and shipping ML/AI model's weights in real time production on GCP and Digital Ocean cloud platforms.
I have designed, owned and deployed end-to-end projects in following domains
i) Computer Vision
ii) NLP | RAG | LLMS
iii) Agentic AI
iv) Cloud Deployment (GCP and Digital Ocean)
v) Full Stack Web and App development
vi) Complete inventory and POS ERP app.
My Portfolio
FAQ
Can we host the LLM locally to ensure 100% data privacy and security?
Yes! I can deploy open-source models like DeepSeek, LLaMA, or BERT using Ollama on your local server or private cloud instance. This ensures your company's proprietary data never leaves your infrastructure or touches external third-party APIs.
What is the difference between RAG and MCP Protocol integrations?
RAG (Retrieval-Augmented Generation) allows the AI to search and fetch precise information from your custom documents or vector databases (like Pinecone) without hallucinating. MCP (Model Context Protocol) allows AI agents to dynamically connect to external systems, tools, and servers.
Can the chatbot integrate with our existing CRM, SQL database, or workflow tools?
Absolutely. I build custom integrations for SQL/NoSQL databases, CRMs, and workflow tools like n8n and Dialogflow. Depending on your setup, we can automate actions like lead capture, data synchronization, or automated ticket resolution directly within your system.
How do we handle API costs for OpenAI or cloud hosting?
API costs (such as OpenAI, Pinecone, or hosting) are billed directly to your account. I will guide you step-by-step through setting up your developer accounts and optimizing model configurations (token limits, caching, and open-source models) to keep operational costs as low as possible.
What formats and sources can the RAG system ingest?
The RAG pipeline can ingest almost any data source including PDFs, DOCX, CSVs, JSON, web links, raw text files, and SQL database schemas.
What do you need from me before we start the project?
To get started, please send a brief overview of your business workflow, the data sources you want to connect, and any preferred tech stack requirements. If you aren't sure about the architecture, feel free to send a message—we can discuss the best technical setup for your budget and goals!
