Summary
Ala Falaki is an AI consultant and technical editor with 12 years of software and research experience, currently based in Old Toronto. She combines deep academic training (PhD in Computer Science) with hands-on engineering—designing and training LLMs, running RLHF at GPU scale, and building RAG systems using LangChain and Deeplake for production courses in partnership with Intel, Lambda Labs, Cohere, and W&B. Her background spans applied AI roles and teaching—multiple graduate instructor positions and workshops—so she translates complex models into practical lessons, reproducible code, and deployable workflows. She has led cross-industry AI projects as a technical lead and previously built production web and backend systems, from BI dashboards to high-volume monitoring tools. Notably, she authored complete coding curricula for GPU-based LLM training and CPU-efficient inference, reflecting a rare blend of research, pedagogy, and production deployment experience.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BSc), Computer Software Engineering, Bachelor of Science (BSc), Computer Software Engineering at IAU (Lahijan)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Windsor
Master of Science (MSc), Computer Software Engineering, Master of Science (MSc), Computer Software Engineering at IAU (Rasht) - Science and research branch
Persian, English