Mustafa Dogruer

Innovative and solution-oriented Computer Science specialist with a strong background in mathematics, machine learning, and data science. Extensive experience with algorithmic solutions and machine learning models, leveraging Python, SKLearn, TensorFlow, Torch, and HuggingFace.

Proactive and collaborative attitude, committed to long-term, value-driven technology development. Strong leader and problem-solver dedicated to streamlining operations to decrease costs and promote organizational efficiency. Uses independent decision-making skills and sound judgment to positively impact company success.

• Independent thinker with a strong drive to achieve and grow, embodying Kineo's value of making impactful decisions close to the problem.
• Passionate about cross-disciplinary learning and collaboration, with a track record of supporting projects beyond my core expertise.
• Effective communicator, able to build strong relationships across teams and with clients, prioritizing human well-being and open feedback.

• Image Recognition System, Developed an image recognition system using YOLOv8 to detect animal breeds, integrating AWS Cognito and AWS Amplify for user authentication and project deployment.
• Mushroom Type Identification Tool, Implemented an AI-based tool using AWS Recognition and AWS Lambda for classifying mushroom types, showcasing my ability to conceptualize and deploy machine learning solutions.
• Sentiment Analysis and Sentence Classification, Fine-tuned Auto-Encoding models (DistilBert, Roberta, Electra) for sentiment analysis and sentence classification, demonstrating deep understanding of NLP and NLU principles.
• Chess Move Generator, Developed a chess move generator using a fine-tuned GPT-2 model, highlighting creativity in applying AI for game strategy development.
• LLM Adaptation Research, Currently researching adaptation methods (LoRA, PEFT) on models like Microsoft Phi-2, Llama-2 and Mixtral-8x7b for my master's thesis, aiming to enhance model efficiency and application.

• IBM Data Science Fundamentals Specialization (V2)
• Databases and SQL for Data Science with Python (with Honors)
• Statistics for Data Science with Python
• Python for Data Science and AI
• [PCEP-30-02] PCEP – Certified Entry-Level Python Programmer