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Shakeel Qureshi

@shakeelqureshi1

Message

Senior AI engineer building enterprise RAG and agent systems that cut latency and improve LLM accuracy.

United States

Message

What I'm looking for

I’m looking to build production-ready LLM systems—RAG, evaluation, and agent workflows—where I can optimize inference and deployment pipelines and partner with engineering, research, and product to ship reliable enterprise AI.

I build enterprise-grade generative AI systems at VellumAI, using LLMs, Retrieval-Augmented Generation (RAG), and agent-based architectures to automate complex business processes.

I’ve developed Python/FastAPI backend solutions with LangChain and LlamaIndex plus vector databases, including prompt engineering frameworks, evaluation methodologies, and testing processes that improved deployed response accuracy and consistency.

At ElevenLabs, I worked on voice-based generative AI—building real-time inference pipelines in Python and PyTorch and shipping APIs/backends for high-volume workloads while cutting processing latency and streamlining delivery with containerization and MLOps practices.

Earlier, at Labelbox, I supported ML workflows for data preparation, annotation, and training processes—building data processing and evaluation pipelines that helped improve dataset reliability and accelerate model development.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Vellum AI

Nov 2024 - Present (1 year 9 months)

Architect and deliver enterprise-grade Generative AI systems leveraging LLMs, RAG, and agent-based architectures. Develop high-performance backend solutions with Python, FastAPI, LangChain, LlamaIndex, and vector databases.

Python fastAPI Lang Chain LlamaIndex Vector Databases AWS Docker CI CD Prompt Engineering Model Evaluation

AI Engineer

ElevenLabs

Mar 2022 - Oct 2024 (2 years 7 months)

Built advanced Generative AI solutions for voice-based platforms using deep learning and transformer models. Developed real-time inference pipelines with Python and PyTorch, reducing processing latency by 40%.

Python PyTorch Deep Learning Transformers MLOps Containerization

Machine Learning Engineer

Labelbox

Feb 2019 - Feb 2022 (3 years)

Developed machine learning workflows for AI data preparation, annotation pipelines, and model training. Built data processing solutions using Python, Pandas, and ML frameworks to improve dataset reliability.

Python Pandas Machine Learning Computer Vision NLP Data Processing