Summary
Lisa Kilker is a Technical Business Analyst specializing in applied AI with a decade of experience blending product-quality QA, customer success, and prompt engineering to make complex systems more usable and reliable. Currently at Kiewit and founder of Teabot.ai, she builds practical generative-AI workflows, authors approachable education on prompt design, and tests model behavior end-to-end to improve UX for non-technical users. Her background spans QA and post-sales AI roles at startups and scale-ups where she reduced support volume, implemented CRM and testing systems, and translated edge-case model failures into actionable product requirements. With a formal software development degree and an applied generative AI certificate from Purdue, she pairs technical fluency with a user-first mindset. Not obvious from titles: she combines creative prompt artistry (AI art platforms) with rigorous test design, making her equally comfortable iterating on visual outputs and documenting reproducible LLM defects.
10 years of coding experience
17 years of employment as a software developer
Associate of Arts and Sciences - AAS, Computer Programming and Systems Design, Associate of Arts and Sciences - AAS, Computer Programming and Systems Design at American Business & Technology University
Full Stack Web Development, Full Stack Web Development at Ironhack
Certificate Program, Applied Generative AI Specialization, Certificate Program, Applied Generative AI Specialization at Purdue University
Bachelor of Science - BS, Software Development, Bachelor of Science - BS, Software Development at Western Governors University
English, Hebrew, Spanish, Italian