I am Eli Hadam Zucker, an experienced AI prompt engineer and workflow optimization specialist who designs and delivers AI-driven automation to boost efficiency and customer satisfaction. I enjoy mentoring cross-functional teams, translating complex problems into scalable prompts and processes, and delivering measurable improvements in throughput and quality.

Eli Zucker

I am Eli Hadam Zucker, an experienced AI prompt engineer and workflow optimization specialist who designs and delivers AI-driven automation to boost efficiency and customer satisfaction. I enjoy mentoring cross-functional teams, translating complex problems into scalable prompts and processes, and delivering measurable improvements in throughput and quality.

Available to hire

I am Eli Hadam Zucker, an experienced AI prompt engineer and workflow optimization specialist who designs and delivers AI-driven automation to boost efficiency and customer satisfaction.

I enjoy mentoring cross-functional teams, translating complex problems into scalable prompts and processes, and delivering measurable improvements in throughput and quality.

See more

Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate

Language

English
Advanced

Work Experience

Vulnerable Customer Lead at Wise Tallinn, Estonia
September 1, 2022 - July 1, 2025
Built and maintained prompt + template libraries for specialists (structured summaries, empathy-safe language, policy-grounded next steps), improving consistency across 4 locations. Established adoption and quality measures for AI-assisted workflows (usage, time-to-handle, CSAT, QA). Published monthly insights and iterated prompts/processes based on performance trends.
Project Manager - Root Cause Analysis (Secondment/ Interim Role) at Wise Tallinn, Estonia
July 1, 2025 - Present
Led structured root cause analysis training across 5 verticals; aligned QA attribution using the Wise RCA framework; built lightweight evaluation loop (golden set + spot checks) to track accuracy; mentored 2 team members in prompt engineering responsibilities; directed 5 discovery workshops mapping end-to-end vulnerable-customer workflows and translating them into AI-ready specs (inputs/outputs, decision rules, exception handling, compliance constraints).

Education

Master of Science in Software Development at Maryville University of Saint Louis
January 11, 2030 - February 4, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services