MMehmet Ünlü
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Mehmet Ünlü

I study Electronics and Communication Engineering at ITU and build hands-on projects around forecasting, computer vision, and making data workflows faster.

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Projects

Selected work, written as case studies.

These are not just tiles. Each project explains the context, the implementation choices, the measurements, and the parts that still need work.

Products

20k

History

3 yrs

Zero demand

85%

FeaturedForecastingLightGBMTweedie

Intermittent Demand Forecasting System

A two-stage machine learning system for intermittent demand forecasting on daily product-level sales data.

Case study

Runtime

40m -> 4m

Rows

3M

Data

~1 GB

OptimizationNumPyPandas

ML Pipeline Runtime Optimization

Optimized a large-scale ML feature engineering and inference pipeline by reducing unnecessary computation, memory bloat, and Python-level bottlenecks.

Case study

Branches

2

Selector

Confidence

Output

Pose

Computer VisionRAFTORB

Hybrid Visual Odometry System

A confidence-aware visual odometry system combining deep learning-based optical flow and classic computer vision.

Case study

Languages

TR / EN

Pipeline

STT + NLP

Deploy

Self-hosted

WhisperNLPHugging Face

Whisper-Based Speech & NLP System

A self-hosted speech transcription and text processing system using Whisper and NLP models.

Case study

Roles

Parent / Child

Media

Video + Voice

AI

Prompts

FlutterFirebaseAI Product

AI-Powered Storytelling / Flutter App

A mobile application concept for children and parents using AI-powered storytelling, video, subtitles, and voice processing.

Case study