“Build models. Ship systems. Keep it reproducible.”
AI / Machine Learning • Applied Data Science • MLOps (API & Deployment)
Türkiye • Open to Remote / Relocation
Flutter is a secondary skill — I use it mainly to ship ML demos and on-device inference when needed.
Final-year Computer Engineering student at Bartın University (Türkiye) focused on AI/ML and Applied Data Science.
I design and ship production-minded ML pipelines: data → features → training → evaluation → deployment (API/Docker) → iteration.
I’m most valuable when a team needs:
- Clean ML pipelines (EDA → features → training → evaluation)
- Solid baselines & metrics (measurable improvements, not guesses)
- Deployment-ready models (FastAPI/Flask + Docker)
- Practical prototypes (sometimes with Flutter as a client) to demonstrate real usage
| Expertise | Working On | Focus Areas |
|---|---|---|
| Machine Learning & Data Science | End-to-end ML pipelines | EDA, Feature Engineering, Training, Metrics |
| NLP (Natural Language Processing) | Text models & embeddings | TF-IDF, Transformers (BERT), preprocessing, evaluation |
| Computer Vision (CV) | Image-based ML solutions | CNNs, OpenCV pipelines, inference optimization |
| MLOps & Deployment | Shipping models to production-like setups | REST APIs (FastAPI/Flask), Docker, reproducibility |
| Flutter (Secondary) | ML-powered mobile demos (client layer) | UI, API integration, Firebase advanced |
- ML Engineering: supervised/unsupervised learning, hyperparameter tuning, cross-validation, error analysis
- NLP: text preprocessing, TF-IDF, embeddings, Transformers (BERT)
- Computer Vision: CNN-based classification, OpenCV pipelines
- MLOps / Deployment: REST APIs, Docker, reproducible experiments, version control
- Data Work: data cleaning, EDA, feature engineering, statistical thinking
Tech: Python, scikit-learn, TF-IDF, Logistic Regression / SVM
- Built a full text classification workflow (preprocess → vectorize → train → validate)
Tech: Python, TensorFlow/TFLite, NLP, CV, Firebase, (Flutter — secondary)
- Prototype for preliminary screening (no clinical claims)
- Optimized on-device inference using TensorFlow Lite
Tech: OpenAI API, Google Maps API, Firebase, (Flutter — secondary)
- Conversational trip planning with dynamic itinerary generation
Primary (AI/ML & Data)
Deployment & Tools
Secondary (Mobile)
Also
B.Sc. in Computer Engineering — Bartın University (Türkiye)
Expected Graduation: June 2026
English: Advanced
Arabic: Native
Turkish: Advanced
- 📧 Email: [email protected]
- 💼 LinkedIn: https://www.linkedin.com/in/yahya-abuzahra