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Abdul Rehman

@abdulrehman70

Message

AI engineer building production LLM and RAG systems for search and automation.

United States

Message

What I'm looking for

I’m looking to build and deploy production LLM, RAG, and agentic AI systems—starting from data pipelines and evaluation through monitoring—so teams can reduce manual workflows and improve retrieval and reliability.

I build production-grade AI systems using Large Language Models, Generative AI, and Retrieval-Augmented Generation (RAG), with a focus on semantic search and conversational agents.

At Labelbox, I’ve designed and deployed enterprise LLM/Geneative AI + RAG architectures, improving knowledge retrieval accuracy by 30%+ and fine-tuning/evaluating LLMs to reduce hallucinations by 20%+. I also built data-centric pipelines and ML APIs using Python, FastAPI, Docker, and AWS.

Before that, I worked at Weights & Biases on ML experimentation, MLOps, and automated evaluation/monitoring workflows, and at Pinecone on semantic search and recommendation systems using vector databases, embeddings, and transformer-based retrieval models.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Labelbox

Jan 2025 - Present (1 year 7 months)

Designed and deployed enterprise AI applications using LLMs, Generative AI, and RAG architectures, improving knowledge retrieval accuracy by 30%+. Built data-centric AI pipelines using Labelbox annotation workflows, increasing model training efficiency by 25%.

LLM Generative AI RAG LangGraph Vector Databases Transformer Models Python fastAPI Docker AWS Labelbox

Machine Learning Engineer

Weights & Biases

May 2022 - Dec 2024 (2 years 7 months)

Developed ML experimentation workflows using Weights & Biases, improving model tracking and reproducibility. Built and optimized deep learning pipelines for NLP, recommendation systems, and predictive analytics, improving model development efficiency by 35%.

Weights Biases MLFlow Docker Kubernetes AWS Deep Learning NLP Recommendation Systems Predictive Analytics Python

AI Engineer

Pinecone

Oct 2020 - Apr 2022 (1 year 6 months)

Developed AI-powered semantic search and recommendation systems using Pinecone vector database and transformer-based retrieval models. Built RAG applications integrating vector search, NLP pipelines, and LLMs, improving information retrieval accuracy by 35%.