Zeinab Zolaktaf

Applied Scientist specializing in LLM applicaitons and production machine learning.
Canada.
Email: z.lastname @gmail.com

I build practical AI products that move quickly from experimentation to deployment. At Amazon, I have worked on LLM evaluation, summarization, search, and recommendation systems in production ML workflows. My background combines research depth (PhD, UBC; publications in SIGMOD, ICDE, and EDBT) with hands-on product execution across e-commerce and cybersecurity.

Core Strengths

LLM application development and evaluation
NLP and text classification systems
End-to-end ML pipelines and MLOps (AWS, Kubernetes, Docker)
Recommender systems and user-centric ML design

Selected Experience

Amazon, Applied Scientist (2022-Present): Built and scaled LLM evaluation, summarization, and recommendation systems for production use.
Elpha Secure, Senior Applied Scientist (2021-2022): Built cybersecurity ML products and deployment-ready pipelines for faster experimentation and delivery.
Georgian and EhsAI (2019-2021): Developed NLP models, improved model quality through deep error analysis, and shipped practical ML solutions.

Education

PhD in Computer Science, University of British Columbia
MSc in Computer Science, Dalhousie University
BSc in Computer Software Engineering, Isfahan University