Summary
Aizaz Sharif is an LLM engineer and PhD-trained computer scientist with 11 years of experience building AI-driven systems across research and industry, including production LLM platforms and autonomous vehicle testing tools. He blends deep learning and ML engineering expertise—spanning LangChain, Pinecone, reinforcement learning, and cloud-native backends—with a track record of shipping end-to-end products like meeting-summarization pipelines and an open-source multi-agent driving testbed. His work has moved from mobile forensics and OCR optimization to designing adversarial RL benchmarks for autonomous cars, demonstrating an unusual breadth from applied security tooling to cutting-edge research. Based in Trondheim, he aims to deploy research-grade AI toward socially responsible, sustainable technologies and prefers roles that couple innovation with real-world impact.
11 years of coding experience
8 years of employment as a software developer
University of Oslo
Deep Learning Nanodegree, Deep Learning / Artificial Intelligence, Deep Learning Nanodegree, Deep Learning / Artificial Intelligence at Udacity
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at National University of Computer and Emerging Sciences
English, Urdu, Norwegian