Mehmet Batuhan Çok

As a Product Intern, contributed to product strategy and feature development for a hybrid tech platform, driving data-informed decisions and user-centric improvements.

• Contributed to product roadmap planning and feature prioritization using user feedback and A/B testing, enhancing product relevance.
• Collaborated cross-functionally with design and engineering teams to successfully ship new product features, improving user experience.
• Led experiments and rigorously analyzed key metrics to inform data-driven product decisions, optimizing user engagement.

Co-founded an HR tech startup, overseeing product strategy from research to development and building core AI-driven capabilities for CV parsing and matching.

• Co-founded an HR tech startup, developing an AI-driven platform with advanced CV parsing, matching, and assessment capabilities.
• Built the core Django backend, establishing a robust and scalable architecture for the platform's initial launch.
• Led product strategy from initial research to feature development, ensuring alignment with market needs.

Developed and implemented machine learning models for energy price prediction and trading strategy optimization, leveraging large-scale data analysis.

• Developed and deployed ML models using Scikit-learn to accurately predict energy prices, optimizing trading strategies for enhanced profitability.
• Processed and analyzed large datasets of historical energy market data using Pandas and NumPy, extracting critical insights for market trends.
• Collaborated directly with the trading team to translate data-driven insights into actionable market decision-making processes, improving operational efficiency.

Co-founded an educational startup, driving product development, leading a team, and managing investor relations to scale the venture.

• Co-founded an educational startup, successfully managing product development from conception to market launch.
• Led cross-functional teams, fostering a collaborative environment to achieve key development milestones.
• Managed investor relations, successfully securing crucial funding and support for the startup's growth and expansion.

Contributed to advanced image processing and object detection projects as a Software Engineer Intern, utilizing cutting-edge computer vision frameworks.

• Contributed to image processing and object detection projects, enhancing system capabilities using OpenCV and TensorFlow.
• Implemented computer vision algorithms to improve accuracy and efficiency in object recognition tasks.
• Collaborated with senior engineers to integrate new features into existing software, improving overall project performance.

Developed an advanced OCR solution utilizing transformer-based LLMs and a custom NLP pipeline for historical document processing.

Developed a mobile application for fan engagement, incorporating interactive features to enhance user experience and loyalty.

Implemented a reinforcement learning solution to optimize flight scheduling, demonstrating advanced application of AI in operational logistics.

Awarded 3rd place in a competitive AI Datathon, demonstrating strong problem-solving and technical skills in artificial intelligence.

Achieved a ranking of 22nd out of 176,515 candidates on the ALES exam, a national standardized test for graduate studies, showcasing exceptional academic aptitude.

Ranked 274th in Quantitative and 9th in Verbal out of 2.6 million candidates on the National University Entrance Exam, reflecting superior academic performance and cognitive abilities.