Summary
Junaid Aziz is a Senior Full Stack Engineer with a decade of expertise in Node.js, TypeScript and AWS Serverless, now focused on AI training and code evaluation for frontier LLMs. He bridges production engineering and RLHF work—shipping RAG pipelines, OpenAI/Claude orchestration and pgvector-backed search while also assessing AI-generated code for correctness, security and efficiency. Recent wins include a serverless platform that cut latency 25% and boosted throughput 60% for Audi Business Innovation, and a 99.9% uptime OpenAI-powered legal search for Midpage. He has led teams, mentored engineers, and improved database and API performance across high-throughput systems, with a track record of driving measurable operational gains. Open to RLHF, code-evaluation, and senior Node.js backend roles in US/EU timezones, he combines production-grade delivery with hands-on model-evaluation rigor.
9 years of coding experience
6 years of employment as a software developer
MSCIT Computer Science, MSCIT Computer Science at University of Education Lahore
English, Urdu