Experience

At Attimo, I build AI-powered products, automation systems, and multimodal data-processing pipelines for business workflows. I developed Archivia, an automation product integrating Claude-based agents and third-party systems, and engineered core components of Panovia, a YOLO, OCR, and LLM pipeline for extracting and analyzing technical reports, PDFs, tables, and engineering schematics. My work spans frontend, backend, AI orchestration, integrations, and infrastructure.

Conducted research on metaheuristic optimization algorithms, focusing on population dynamics, search behavior, convergence, and algorithmic performance. Redesigned search lifecycles across SFOA, DHOLE, and FVIMDE using Evolutionary Population Management and Natural Survival mechanisms, developed Fitness-Distance Balance selection frameworks, and benchmarked results on the IEEE CEC 2022 test suite with MATLAB and Wilcoxon/Friedman tests.

Conducted academic research on Turkish-language automatic summarization. Built a Python data-collection pipeline that processed more than 10,000 news articles, prepared a Turkish summarization dataset, and evaluated a Pegasus-based model. Reported a 50% reduction in training time and a 5% accuracy improvement after optimization.

Completed an internship in a finance environment and gained exposure to banking workflows, software processes, and data-oriented business systems.