I will build rag pipelines, ai agents, and llm powered chatbots for your business


About this gig
Have private data or complex workflows and want an AI solution that actually performs? I build production-ready RAG pipelines, fine-tune LLMs, and craft agentic systems to automate multi-step tasks and surface accurate answers from your data.
What I deliver:
- RAG pipeline design (vectorization, retriever, LLM orchestration)
- LLM fine-tuning (instruction tuning or PEFT) on your domain data
- AI agents (task planning, tools integration, memory)
- Integrations with OpenAI, Anthropic, Hugging Face, Cohere, or self-hosted LLMs
- Vector DB setup (Pinecone, Milvus, Weaviate, Chroma)
- Data ingestion & cleaning (PDFs, docs, databases, web scraping)
- Secure API endpoints, deployment, CI/CD support
- Monitoring, evaluation metrics, retraining workflows
Why work with me:
- Hands-on experience with LLM engineering, LangChain, retrieval systems, production deployment
- Clear deliverables code with docs, deployment support included
- Custom solutions matched to your compliance and latency needs
- I personally handle every project end-to-end direct communication, no handoffs
Order directly or message me your requirements I'll confirm timeline and approach before we start.
Get to know Abdul-dev
Full Stack MERN Developer and Software Engineer
- FromPakistan
- Member sinceMay 2021
- Avg. response time1 hour
Languages
German, Spanish, Arabic, English
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FAQ
Do you host or deploy the models?
Yes — we can deploy to your cloud or provide deployment-as-code (Docker/K8s) and recommend hosting options.
Which vector DB and LLM do you use?
We choose based on your needs — Pinecone, Milvus, Weaviate, Chroma for vectors; OpenAI, Anthropic, Hugging Face, or self-hosted LLMs for inference.
: What is fine-tuning vs PEFT?
Full fine-tuning trains model weights on your data; PEFT (parameter-efficient fine-tuning) adapts a model with lower compute and cost. We’ll recommend the right approach.
How long until results?
Timelines vary — Basic POC in ~1 week; MVP 2–3 weeks; Production 4+ weeks depending on data and integrations.
Will you provide source code and docs?
Yes, code, README, architecture diagrams, and deployment scripts are included per package.

