I will build an ai document QA assistant, llm evaluations, or a custom ai backend

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abduljalilmemon
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abduljalilmemon
Abdul Jalil

About this gig

I build reliable AI systems that can read documents, answer questions, extract information, or evaluate LLM responses with accuracy. My solutions use Python, FastAPI, embeddings, retrieval pipelines, and custom prompt engineering to deliver production-ready results.


What I Can Build:

- AI Document Q&A for PDFs, text, or web content

- FastAPI-based AI backends with clean architecture

- LLM evaluation systems with scoring and rubrics

- Retrieval-augmented generation (RAG) pipelines

- Custom AI chatbots and internal knowledge assistants

- Integrations with OpenAI, Anthropic, HuggingFace, or custom models


Why Work With Me:

I am a Senior Software Engineer with experience in backend systems, distributed architectures, search optimization, and LLM evaluation. I have delivered AI services, microservices, and automation pipelines used in real production environments.


What You Will Receive:

- Clean, maintainable code

- FastAPI endpoints

- High-accuracy retrieval and response logic

- Optional Docker setup

- Custom prompt logic based on your use case


Message me with your requirements, and I will help you choose the best solution.

Get to know Abdul Jalil

Abdul Jalil

AI Agent and Backend Specialist FastAPI Redis ElasticSearch

  • FromPakistan
  • Member sinceOct 2019
  • Languages

    English, Urdu
I am Abdul Jalil, a Senior Software Engineer with 4+ years in AI and backend development. I deliver production-ready solutions with: - AI agents using LangChain and NLP for automation and chatbots - Backend APIs with FastAPI, Flask, and Django for scalable services - ElasticSearch optimization for fast and intelligent search - Pipelines with RabbitMQ and Kafka for real-time processing - Redis, MongoDB, Neo4j for memory, caching, knowledge graphs - Deployment with Docker and Kubernetes for reliable scaling Clean, tested, secure, and scalable systems for fast results.

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