Nadeem Khan
I am a Senior Software Engineer with over 7 years of experience building distributed systems, alongside over a year specializing in developing Large Language Model (LLM) agents.
About
I am a Senior Software Engineer with over 7 years of experience building distributed systems, alongside over a year specializing in developing Large Language Model (LLM) agents. I have expertise in multi-agent AI architectures, vector databases, and production deployments on Kubernetes. Over my career, I have optimized manufacturing processes handling massive data volumes, driving significant runtime and cost efficiencies.
I thrive on architecting AI-driven solutions that increase accuracy and reduce manual effort, managing scalable cloud infrastructure, and leading AI innovation initiatives. Mentoring teammates and creating subscription models that boost profitability have been rewarding parts of my work. I am passionate about leveraging my technical skills to build impactful, intelligent systems that transform complex workflows.
- 5 years' experience
- Joined August 2025
Languages
- EnglishFluent
Industry experience
- Manufacturing
- Professional Services
- Software & Internet
Work experience
Architected a production multi-agent AI system leveraging LangGraph, GPT-4, Claude, and Gemini with ChromaDB vector databases, improving error resolution accuracy by 40%. Built the Quantum Pipeline Optimizer managing 50-60 daily runs, employing intelligent SQL and Spark strategies. Deployed containerized LLM agents on Azure with auto-scaling, reducing complex error resolution from hours to minutes and supporting concurrent resolutions. Led AI innovation and mentored engineers, enabling a subscription model that increased profit margins by 60%. Optimized manufacturing ETL processing large data sets, cutting runtime by half and reducing Azure costs by 40%. Developed a streaming data pipeline with Spring Boot and Kafka, raising I/O performance by 40%.
Designed scalable microservices using Spring Boot, Docker, and Kubernetes to achieve 70% CPU utilization under load. Managed a team of five engineers delivering a SaaS platform for manufacturing process visibility.
Education
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