Summary
Zahra Sarayloo is an AI Engineer and researcher with 12+ years in machine learning and AI, combining a PhD in Electrical Engineering with a second master’s in Computational Mathematics and AWS certification. She builds production-grade LLM and multi-agent systems—designing RAG architectures, fine-tuning open-source models (e.g., Mistral 12B with LoRA/QLoRA), and running lifecycle, CI/CD, and deployment pipelines on AWS. Her work spans applied research (AI reasoning, neuro-symbolic methods, adversarial robustness) and engineering, having led agentic AI products for film and finance along with RF and signal-processing projects. At SPONSOR and university labs she bridged research and product, creating metadata-extraction and multi-agent workflows that combine rule-based, OCR, and chain-of-thought reasoning. Now based in Old Toronto, she focuses on agentic systems, LLM reasoning, and the emerging Internet of Agents while mentoring and translating novel research into scalable cloud-native solutions. A nimble polyglot across ML, systems, and embedded domains, she’s equally comfortable with hardware-in-the-loop experiments and large-scale model deployment.
6 years of coding experience
7 years of employment as a software developer
Master of Science (MS), Electrical and Electronics Engineering, Master of Science (MS), Electrical and Electronics Engineering at K. N. Toosi University of Technology
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at University of Tehran
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Shariaty Technical and Vocational University
Master's degree, Computational Mathematics, Master's degree, Computational Mathematics at University of Waterloo
English, Persian