I am a data-driven problem solver with a passion for sustainability and technology. With a vision to make the world a better place through cutting-edge AI solutions, I develop innovative approaches to address real-world challenges that humanity faces.

As a Software Engineering student specializing in AI and Data Science, I've built expertise in neural networks architecture, predictive modeling, computer vision, and advanced analytics. My experience spans developing high-impact machine learning solutions using frameworks like TensorFlow, PyTorch, and scikit-learn. I'm proficient in implementing RAG systems, ensemble learning methods, and NLP techniques that transform complex datasets into actionable intelligence.

I combine technical excellence with innovative thinking to create scalable AI solutions that deliver strategic outcomes and significant improvements in accuracy and efficiency. My commitment to lifelong learning drives me to continuously deepen my knowledge and engage with projects that create positive social and environmental impact.

• Languages: Python, SQL, JavaScript, Java, C#
• ML/Data Science: TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, XGBoost, LightGBM
• Deep Learning: CNN architectures, Transformer models, Neural networks
• NLP & LLMs: RAG systems, Context-aware response generation
• Computer Vision: OpenCV, Image preprocessing techniques
• Time Series: Forecasting, Feature engineering for temporal data
• Visualization: Matplotlib, Seaborn
• Databases: MySQL, SQL Server, Vector databases
• API Integration: REST APIs, CoinGecko API, Gemini API
• Cloud: Azure, Google (BigQuery, Vertex AI)
• Tools: Git, VS Code, Kaggle

Feb 2025 - Present

Developing a comprehensive medical diagnostic tool leveraging deep learning to detect and classify brain tumors from MRI images with high precision and reliability.

Key Achievements:

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Technologies: Python, TensorFlow, OpenCV, scikit-learn, Ensemble methods, CNN architecture

Jan 2025 - Present | Associated with UNLU & Co

Created a secure Retrieval-Augmented Generation (RAG) system tailored for the finance sector, enabling efficient extraction of insights from complex financial documents while maintaining data security.

Key Achievements:

• Developed comprehensive document processing pipeline with custom parsing and embedding generation
• Achieved 70% accuracy in text-based Q&A tasks on complex financial documents
• Reduced document analysis time by 65% compared to manual methods
• Maintained complete data security through local deployment architecture

Technologies: Python, Transformer models, Vector databases, Embedding techniques, RAG architecture

Jan 2025 - Present

Led AI component development for an intelligent mobile application that identifies food items from images, provides nutritional analysis, and enables comprehensive meal tracking.

Key Achievements:

• Achieved 88% accuracy in food item identification across diverse cuisine types
• Developed journal investigation feature using Gemini API for personalized diet insights
• Currently preparing for beta launch in Q3 2025

Technologies: Python, TensorFlow, Gemini API, Computer Vision, SQL, Google Cloud (BigQuery, Vertex AI)

Oct 2024 - Jan 2025 | Associated with Doğuş University

Led team development of an advanced computer vision system for real-time recognition of American Sign Language letters, enhancing communication accessibility.

Key Achievements:

• Achieved over 90% accuracy in American Sign Language alphabet recognition in real-time
• Successfully processed video at 25+ FPS on standard hardware, enabling fluid interaction
• Developed system capable of functioning in varied lighting conditions and backgrounds

Technologies: Python, TensorFlow, OpenCV, CNN architecture, Real-time processing

Feb 2025 - Present

Built comprehensive data pipeline and analytics system to fetch, process, and visualize cryptocurrency market data using the CoinGecko API.

Technologies: Python, Requests, Pandas, Matplotlib, API integration

Dec 2024 - Present

Participated in Kaggle competition developing advanced time series forecasting models to predict store sales across multiple locations.

Technologies: Python, XGBoost, Time Series Analysis, Feature Engineering

Jan 2025

Engineered comprehensive machine learning pipeline to predict bike sharing demand using multiple modeling approaches.

Technologies: Pandas, Scikit-learn, Matplotlib, Seaborn, Random Forest, Gradient Boosting

Dec 2024

Developed advanced regression models to predict housing prices using comprehensive feature engineering and ensemble methods.

Technologies: Python, Scikit-learn, LightGBM, XGBoost, Statistical analysis

• Machine Learning & AI: Developing and deploying ML models for predictive analytics, classification, and computer vision applications
• Data Analysis & Visualization: Transforming raw data into actionable insights through statistical analysis and visual representation
• Time Series Forecasting: Creating models to predict future trends in financial markets and sales data
• Natural Language Processing: Building systems that understand and analyze text data for enhanced user experiences
• API Integration & Development: Connecting systems and databases to create seamless data flows and user experiences

I am committed to leveraging technology for positive social and environmental impact:

• Healthcare Innovation: Creating AI solutions to assist in medical diagnostics and patient care
• Accessibility: Developing tools like sign language recognition to support inclusive communication
• Sustainable Decision-Making: Building data analysis frameworks that support environmentally conscious choices
• Ethical AI Development: Ensuring AI systems are fair, transparent, and beneficial to all users

Seeking opportunities in Data Science, Machine Learning Engineering, and AI Development roles with innovative international organizations. Focused on leveraging my expertise in developing AI solutions that transform complex data into actionable insights and create meaningful impact. Particularly interested in remote or on-site positions with companies committed to advancing AI technologies for positive social change and sustainability.

I'm always open to interesting discussions and collaboration opportunities. Feel free to reach out!

Thank you for visiting my profile!