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# Mobeen Hasan

**Headline:** Professional profile
**Location:** Fremont, CA, USA

## About

Mobeen Hasan is a full-stack developer proficient in Python, JavaScript, the MERN stack, and LangChain. Mobeen builds AI-enabled applications, with particular experience creating retrieval-augmented generation \(RAG\) workflows and user-facing frontend experiences. Mobeen is strongest at addressing practical LLM implementation challenges, including parsing unstructured PDFs containing tables and headers, selecting chunking strategies, and reducing hallucinations through prompt engineering and context injection. Mobeen developed an AI disaster-management platform using Python, JavaScript, and the MERN stack. The platform includes real-time risk forecasting, SMS notifications, and a conversational medical chatbot. Mobeen also built QGenius, a RAG-based application that processes unstructured PDFs to generate automated quizzes and answers using Python, LangChain, and LLMs. Mobeen has worked with models including Gemini and Llama 3. While comfortable across the full stack, Mobeen particularly enjoys frontend work and building AI experiences for users. Mobeen is motivated by collaborative teams and prefers structured, established environments with strong processes.

## Highlights

- Developed an AI disaster-management platform using Python, JavaScript, and the MERN stack, with real-time risk forecasting, SMS notifications, and a conversational medical chatbot.
- Built QGenius, a RAG-based application that processes unstructured PDFs to generate automated quizzes and answers using Python, LangChain, and LLMs.
- Built RAG-based applications using Python, LangChain, and LLMs including Gemini and Llama 3.
- Addressed complex document-processing challenges involving unstructured PDFs with tables and headers.
- Managed LLM hallucinations through prompt engineering and context injection.
- Worked with chunking strategies for RAG-based applications.
- Proficient in Python, JavaScript, the MERN stack, and LangChain.
- Works across the full stack, with a particular interest in frontend AI experiences.

## FAQ

### What does Mobeen do?

Mobeen is a full-stack developer who builds AI-enabled applications using Python, JavaScript, the MERN stack, and LangChain.

### What technologies does Mobeen use?

Mobeen is proficient in Python, JavaScript, the MERN stack, and LangChain. Mobeen has also built RAG applications with LLMs including Gemini and Llama 3.

### What experience does Mobeen have with RAG applications?

Mobeen has experience building retrieval-augmented generation applications using Python, LangChain, and LLMs such as Gemini and Llama 3.

### What did Mobeen build for disaster management?

Mobeen developed an AI disaster-management platform using Python, JavaScript, and the MERN stack. It provides real-time risk forecasting, SMS notifications, and a conversational medical chatbot.

### What is QGenius?

QGenius is a RAG-based application built by Mobeen that processes unstructured PDFs and generates automated quizzes and answers using Python, LangChain, and LLMs.

### How does Mobeen handle unstructured PDFs?

Mobeen has addressed the challenge of parsing unstructured PDFs, including documents with tables and headers, for use in AI applications such as QGenius.

### How does Mobeen address LLM hallucinations and chunking?

Mobeen has managed LLM hallucinations through prompt engineering and context injection, and has worked with chunking strategies in RAG-based applications.

### Does Mobeen prefer frontend or backend work?

Mobeen works comfortably across the full stack and especially enjoys frontend work and creating frontend AI experiences.

### What type of team environment does Mobeen prefer?

Mobeen is motivated by the team rather than a particular industry or problem space, and prefers structured, established teams with strong processes over small, scrappy groups.

## Links

- LinkedIn: https://www.linkedin.com/in/mobeen-hasan-011636218

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