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Achievements

Achievement: Starstruckx2

Achievements

Achievement: Starstruckx2

Organizations

@OnlineBankingSytem-Team @Global-AI-Hub-Bootcamp

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MelihGulum/README.md

Melih Gülüm

AI & Data Engineer

Building production-oriented systems across AI, Data Engineering, Computer Vision, and LLMs.

About

I work across machine learning, data engineering, computer vision, and production AI systems.

My work focuses on building end-to-end intelligent systems — from data pipelines and model development to evaluation, deployment, and infrastructure.

Currently pursuing an MSc in Computer Engineering, where my research explores communication efficiency and information propagation in Multi-Agent LLM systems.

Areas of focus

  • AI Engineering — LLMs, Agentic AI, RAG, Multi-Agent Systems
  • Computer Vision — detection, tracking, classification, edge AI
  • Data Engineering — ETL/ELT, streaming architectures, Kafka, SQL
  • MLOps & Infrastructure — containers, orchestration, IaC, cloud
  • Applied AI Research — efficient, reliable, and measurable AI systems

Engineering Stack

AI / ML Python · PyTorch · TensorFlow · Scikit-learn · OpenCV · NLP · LLMs · RAG · LangGraph
Data PostgreSQL · MySQL · Kafka · Pandas · NumPy · ETL/ELT · Streaming
Infrastructure Docker · Kubernetes · Terraform · AWS · GCP · Linux
Engineering Git · GitHub · REST APIs · SQL · CI/CD · Experimentation · Evaluation

Pinned Loading

  1. Comprehensive-Data-Science-AI-Project-Portfolio Comprehensive-Data-Science-AI-Project-Portfolio Public

    A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science a…

    Jupyter Notebook 352 49

  2. Music-Genre-Classification Music-Genre-Classification Public

    This project aims to classify music genres. CNN architecture and GTZAN dataset were used for model training. Finally, a Web Application was made with Flask.

    Jupyter Notebook 18 17

  3. ASL-Recognition-CNN-OpenCV ASL-Recognition-CNN-OpenCV Public

    American Sign Language Alphabet recognition with Deep Learning's CNN architecture

    Jupyter Notebook 5 4

  4. Understanding-Librosa Understanding-Librosa Public

    Jupyter Notebook 4

  5. CIFAR-10-CNN-FLASK-Deployment CIFAR-10-CNN-FLASK-Deployment Public

    Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.

    Jupyter Notebook 5 1

  6. Sentiment-Analysis-and-Spam-Classification Sentiment-Analysis-and-Spam-Classification Public

    In this project, sentiment analysis is made from the sentences of the model trained with LSTM and also SMS classification is made with Naive Bayes. Thereafter, a Web Application was made with Flask.

    Jupyter Notebook 4 1