İsa Türk

Built and scaled the full-stack development of Upvico’s mentorship platform, delivering a clean, practical learning experience for professionals.

Developing data processing workflows for workforce optimization involves designing structured data pipelines that collect, clean, and analyze workforce-related information to improve staffing efficiency, resource allocation, and overall organizational performance. These workflows enable data-driven decision-making by aligning employee capacity, skills, and schedules with business needs while reducing operational inefficiencies.

Developed L4 deep packet inspection systems for AI-driven analytics and metric-based signals intelligence algorithms. Designed countermeasures including passive CAPTCHA mechanisms, dynamic L7 soft blacklists, and BGP blackholing–based hard blacklists. Implemented proprietary end-of-file moov atom optimization techniques in C to improve CDN performance and cache efficiency. Contributed to a high-scale infrastructure handling 400K requests per second, serving many of the largest companies in Turkey.

Serving as the Systems Architecture Consultant for Hyperbee AI, I design scalable and mallable infastructures for varierty of cutting edge AI applications and services, help engineers integrate and adapt to the spesifications of the project and maintain.

Acting as the lead of engineering of Freya AI, I design the general infastructure, distribute and delegate tasks to engineers, manage data generation, and code across the stack.