Custom AI Chatbots, LLM Apps & RAG Development by Omar HashmiCustom AI Chatbots, LLM Apps & RAG Development by Omar Hashmi
Custom AI Chatbots, LLM Apps & RAG DevelopmentOmar Hashmi
I develop custom AI applications and LLM-powered chatbots that help businesses make their information easier to access and use.
Whether you need a document Q&A assistant, an internal knowledge-base chatbot, or an AI feature integrated into an existing product, I can help implement the complete solution.
Services include:
Custom LLM application development
Retrieval-Augmented Generation (RAG) systems
Chat with PDF and document-based knowledge assistants
Semantic search and knowledge retrieval
OpenAI-compatible API and Gemini integrations
Prompt engineering and structured outputs
Document ingestion and text-processing pipelines
Backend APIs, application interfaces, and deployment
Basic evaluation and testing of answer quality
I focus on connecting models to the right information, handling errors, and designing practical workflows around the AI experience.
The implementation depends on your data sources, security requirements, model choice, expected usage, and budget.
Share your use case and sample data, and I can help define a realistic technical approach and delivery plan.
I develop custom AI applications and LLM-powered chatbots that help businesses make their information easier to access and use.
Whether you need a document Q&A assistant, an internal knowledge-base chatbot, or an AI feature integrated into an existing product, I can help implement the complete solution.
Services include:
Custom LLM application development
Retrieval-Augmented Generation (RAG) systems
Chat with PDF and document-based knowledge assistants
Semantic search and knowledge retrieval
OpenAI-compatible API and Gemini integrations
Prompt engineering and structured outputs
Document ingestion and text-processing pipelines
Backend APIs, application interfaces, and deployment
Basic evaluation and testing of answer quality
I focus on connecting models to the right information, handling errors, and designing practical workflows around the AI experience.
The implementation depends on your data sources, security requirements, model choice, expected usage, and budget.
Share your use case and sample data, and I can help define a realistic technical approach and delivery plan.