Summary
Arad Ashrafi is a Technical Lead and AI engineer with eight years of experience building production-scale ML and NLP systems that prioritize social impact, particularly in healthcare and reintegration services. He specializes in fine-tuning and deploying large language models (including Llama 3.1 70B) using PEFT methods like LoRA/QLoRA, and has optimized serverless runtimes for large models to run reliably in production. Arad has designed robust RAG and multi-agent architectures that handle misinformation checks, location-aware recommendations, and resource retrieval, and pairs those systems with React UIs and RESTful APIs for actionable client workflows. His background spans research and applied roles—from peer-reviewed publications and explainable AI research at the University of Alberta to hands-on deployments across startups and clinics—bridging academic rigor with product delivery. He also brings practical ops experience in serverless fault tolerance, monitoring, and synthetic data pipelines, which helps keep models both performant and responsible in real-world settings. Based in Edmonton, he combines leadership and mentorship experience with a demonstrated focus on leveraging AI for measurable societal benefit.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Alberta
Amirkabir University of Technology
HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES at National Organization for Development of Exceptional Talents (Sampad)
English, Persian