Career Overview

As an AI Engineer at Turkish Technology, I contribute to the enterprise shift from RPA/IDP capabilities toward agentic AI platforms such as ANSER. I work across agent harness design, enterprise MCP integrations, OpenShift runtime design, on-prem LLM coordination, operational visibility, and executive communication, bridging product and engineering responsibilities.

In my first year at university, I worked on a predictive maintenance problem at Data Market, a company in the Microsoft partner ecosystem. While researching machine learning approaches for forecasting failures, bottlenecks, and maintenance needs from large-scale operational data, I focused on understanding how I could read the data sources, shape feature engineering decisions, and structure model selection and evaluation steps.

I completed the coursework phase of my master's program with a 4.00/4.00 GPA and am currently at the thesis stage. My research examines how digital transformation success affects business performance and how AI adoption and usage maturity shapes that relationship, with a focus on variables such as management support, digital competencies, and knowledge sharing.

McKinsey Forward is a 10-week professional development program focused on problem solving, communication for impact, resilience, relationship building, and digital/AI skills through applied cases, reflection, and self-paced learning.

Completed my B.Sc. in Mechatronics Engineering with a GPA of 3.37/4.00. During this period, I focused on applied projects at the intersection of electronics, mechanics, control, and software, experiencing engineering not only through technical production but also through team, field, and organizational work such as the Vertical Landing Rocket, Robotics Society, and faculty representation.