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, A, Master of Science (MS), Electrical and Electronics Engineering, A at K. N. Toosi University of Technology
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, A+, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, A+ at University of Tehran
Bachelor's degree, Electrical and Electronics Engineering, A+, Bachelor's degree, Electrical and Electronics Engineering, A+ at Shariaty Technical and Vocational University
Master's degree, Computational Mathematics, Master's degree, Computational Mathematics at University of Waterloo
English, Persian