Cemre Dag

Machine Learning Engineer | Computer Vision | Sustainability Tech

Leveraging cutting-edge AI technologies to create sustainable solutions for global challenges. Specializing in healthcare AI, computer vision, and enterprise ML systems with proven results.

About Me

Results-driven Machine Learning Engineer with 4+ years of experience designing and implementing end-to-end ML pipelines for healthcare AI, computer vision, and enterprise data systems.

Mission

Building AI solutions that transform complex data into actionable intelligence while creating positive social and environmental impact.

Focus Areas

Healthcare Technology, Financial Services, Sustainability Solutions with emphasis on MLOps and production-ready systems.

Values

Technical Excellence, Innovation, Sustainability, Social Impact, and Continuous Learning drive every project I undertake.

Technical Expertise

Comprehensive skill set spanning machine learning, deep learning, and production deployment

Machine Learning & Deep Learning

Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, XGBoost, LightGBM
Computer Vision: OpenCV, U-Net, ResNet, CNN design, Real-time processing
Medical AI: Medical imaging analysis, Clinical decision support, Diagnostic AI

NLP & Language Models

Technologies: Transformer models, BERT, RAG systems, Vector databases
Document Processing: Multi-format parsing, Text extraction pipelines, Context-aware retrieval

MLOps & Data Engineering

Languages: Python, SQL, Java, JavaScript
Cloud: GCP, Azure, BigQuery, CI/CD pipelines
Databases: MySQL, SQL Server, SQLite, Vector databases
Tools: Git, GitHub, REST APIs, Tableau

Featured Projects

Production-ready ML solutions with measurable business impact and technical innovation

SifAI - Medical AI Diagnostic Platform
February 2025 - June 2025 | Graduation Thesis Project

Comprehensive medical AI platform combining brain tumor classification and skin cancer detection for clinical decision support. Dual-model system with custom loss functions and intensive optimization.

95.83%
Segmentation Accuracy
89.55%
Cancer Detection
93.88%
AUC Score
10K+
Images Processed
Tech Stack: TensorFlow, Keras, OpenCV, U-Net, ResNet50, Medical imaging processing
DocuMind - Enterprise RAG System
January 2025 - April 2025 | ÜNLÜ & Co Financial Services

Enterprise-grade RAG system for financial document analysis with security and scalability focus, ensuring data privacy compliance through local deployment architecture.

1,700+
Documents Processed
70%
Q&A Accuracy
65%
Time Reduction
100%
Data Security
Tech Stack: Python, Transformer models, Vector databases, RAG architecture, LangChain
Food Detective - AI Nutrition Tracking
January 2025 - April 2025 | Superint Software

Led AI component development for intelligent mobile application enabling food identification, nutritional analysis, and personalized meal tracking with real-time processing capabilities.

88%
Food ID Accuracy
99.7%
Text Processing
75%
Lookup Reduction
28%
User Retention
Tech Stack: Python, TensorFlow, Gemini API, Computer Vision, SQL, Cloud infrastructure
Additional Notable Projects
2024 - 2025
Top 5%
YZTA Datathon
92%
Sign Language Recognition
30+
Creative Coding Projects
25+ FPS
Real-time Processing

Diverse portfolio including competitive programming (Ranked 24th/543 in Google-associated competition), accessibility-focused computer vision, cryptocurrency analysis platforms, and creative computational art projects.

Let's Build Something Amazing

Available immediately for remote international opportunities. Seeking ML Engineer or AI Developer positions focused on sustainability, healthcare, or fintech.