Development of a PoC for Processing and Analyzing Large PDFs using OpenAI, Pinecone, LangChain, with Front-End Interface

I am seeking a highly skilled data scientist or software engineer with experience in Natural Language Processing (NLP), machine learning, and full-stack development. The goal is to develop a proof-of-concept (PoC) for processing and analyzing large PDFs using OpenAI, Pinecone, and LangChain. The system should include a simple front-end interface, be capable of handling multiple documents collections separately, and be deployable on a Linux environment. Objectives: The PoC should accomplish the following: PDF Processing: Extract text from large collections of PDF files and preprocess it for language model analysis. Embedding with LangChain: Convert the text into vector representations using LangChain's Text Embedding Models. Indexing and Searching with Pinecone: Store and search the vector representations using Pinecone's vector database. Processing Prompts with LangChain: Employ LangChain's PromptTemplates for model input construction and OutputParsers for model output formatting. Text Analysis with OpenAI: Utilize the OpenAI API for text analysis, including chat-based interaction, text completion, and text comparison. Investigate the potential for using OpenAI's text-embedding-ada-002 model for text comparison and embedding. Front-End Interface: Create a simple front-end that allows users to upload PDFs and interact with the analyzed document via chat. Each document should be processed and handled separately. Linux Deployment: Install all necessary dependencies and deploy the system on a Linux environment. Consulting and Documentation: Provide detailed consulting on all elements including OpenAI, LangChain, Pinecone, and other technologies used. Document all aspects of the project, including design decisions, implementation details, and usage instructions. Skills Required: Expertise in Natural Language Processing (NLP) and machine learning Experience with OpenAI's GPT-3 models, API, and text embeddings Experience with vector databases, particularly Pinecone Experience with LangChain for model training and evaluation Strong Python, JavaScript, and PHP programming skills Experience with PDF data extraction and preprocessing Full-stack development skills, particularly for creating user-friendly front-end interfaces Familiarity with Linux environments and system deployment Must have completed a similar project and be able to showcase it Project Timeline: This is a proof-of-concept project, and I anticipate it will take approximately 1-2 weeks to complete. Please respond with your relevant experience, proposed approach to the project, and estimated timeline and costs. Also, please provide examples of similar projects that you have completed.