Omer Cem Tabar

Advanced Multi-Model Orchestration: Engineered a high-performance full-stack platform by integrating a strategic AI stack, utilizing Claude 4.6 and Gemini Pro 3.1 for front-end logic and context analysis, and GPT-5.5 for complex architectural debugging and reasoning. Cross-Methodological R&D Benchmarking: conducted rigorous comparative analyses of software delivery workflows, measuring performance deltas between AI-augmented pipelines and traditional Figmato-React style methods. Strategic SDLC Optimization: defined enterprise-grade benchmarks for developer velocity and maintainability, providing data-driven insights to integrate autonomous agents and LLMs into the core software development lifecycle.

Edge AI & Hardware Deployment: Real-time computer vision pipelines, transitioning maritime surveillance and object detection algorithms from simulations to edge deployments on resource-constrained Autonomous Underwater Vehicles (AUVs). System Optimization: Achieved ~30% reduction in processing latency by refactoring data acquisition bottlenecks and implementing low-level system optimizations in Python and C++ for reliable performance in high-stakes maritime environments. Autonomous Swarm Robotics: Designed and validated distributed communication protocols for AUV swarms, integrating advanced image processing to enable autonomous underwater monitoring and real-time decision-making.

International Project Leadership (INCIT-EV): Led technical data analysis for the EU-funded INCIT-EV project, collaborating with 33 global partners to architect sustainable e-mobility solutions using Python and SQL. Smart City & Open Data Systems: Built real-time air quality monitoring and contributed to the 'Açık Yeşil' Open Data Platform, integrating IoT hardware with a React frontend and PostgreSQL, using RESTful APIs to track 12+ environmental parameters. Team Leadership & Promotion: Elevated to a part-time role following high performance internship to lead strategic municipal initiatives.