https://github.com/abdulvahapmutlu/abdulvahapmutlu
My Profile
https://github.com/abdulvahapmutlu/abdulvahapmutlu
agentic-ai ai-researcher computer-vision deep-learning docker generative-ai machine-learning mlflow mlops nlp optimization portfolio python pytorch representation-learning scikit-learn senior-engineer tensorflow time-series transformers
Last synced: 3 months ago
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My Profile
- Host: GitHub
- URL: https://github.com/abdulvahapmutlu/abdulvahapmutlu
- Owner: abdulvahapmutlu
- License: mit
- Created: 2025-10-02T13:18:33.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2026-03-26T05:41:25.000Z (3 months ago)
- Last Synced: 2026-03-26T10:29:52.433Z (3 months ago)
- Topics: agentic-ai, ai-researcher, computer-vision, deep-learning, docker, generative-ai, machine-learning, mlflow, mlops, nlp, optimization, portfolio, python, pytorch, representation-learning, scikit-learn, senior-engineer, tensorflow, time-series, transformers
- Homepage:
- Size: 1.57 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
🚀 Senior Deep Learning Engineer & Researcher (MSc.)
---
## 🔹 About Me
I design and deliver **end-to-end machine learning systems**—from problem framing and data strategy to reliable deployment and lifecycle management. My work blends **applied research** with **production engineering**, emphasizing clarity, scalability, and measurable impact.
I focus on **generalizable capabilities** rather than tool-of-the-month specifics: **Computer Vision**, **NLP & LLMs**, **Biomedical AI**, **Generative AI**, **Representation Learning**, **Optimization & AutoML**, and **MLOps**.
My approach centers on **reproducibility**, **operational excellence**, and **responsible AI**.
- 🎓 MSc. in progress (Machine Learning / Deep Learning)
- 🧪 Research orientation with practical delivery across multiple domains
- 🛠️ Reproducible workflows (configuration, tracking, evaluation, CI/CD, containers)
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## 🔹 Skills & Tools
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## 🔹 Featured Projects
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## 🔹 Publications
- 📄 [ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation](https://arxiv.org/abs/2507.09299)
- 📄 [Synthetic ALS-EEG Data Augmentation for ALS Diagnosis Using Conditional WGAN with Weight Clipping](https://arxiv.org/abs/2506.16243)
- 📄 [Novel Performance-Based Hyperparameter Optimization with the Use of Bounding Box Tuner (BBT)](https://www.acadlore.com/article/IDA/2025_4_2/ida040204)
- 📄 [Artificial Intelligence in Electroencephalography: A Comprehensive Survey of Methods, Challenges, and Applications](https://www.acadlore.com/article/ATAIML/2025_4_3/ataiml040304)
---
## 🔹 Analytics & Insights
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## 🔹 Focus Areas & Principles
- **Outcome-oriented**: clear goals, measurable impact
- **Reproducible by default**: deterministic pipelines, configs, experiment tracking
- **Operational excellence**: monitoring, CI/CD, resilient systems
- **Responsible AI**: fairness, safety, privacy-aware design
- **Simplicity first**: maintainable abstractions, progressive refinement
- **Collaboration**: docs, reviews, mentorship
---
## 🔹 Get in Touch
📧 [abdulvahapmutlu1@gmail.com](mailto:abdulvahapmutlu1@gmail.com) · 🌐 [abdulvahapmutlu.com](https://www.abdulvahapmutlu.com) · 💼 [LinkedIn](https://www.linkedin.com/in/abdulvahap-mutlu-9420b9235)
