
Intermittent Demand Forecasting System
A two-stage machine learning system for intermittent demand forecasting on daily product-level sales data.
Products
20k
History
3 yrs
Zero demand
85%
Metrics
WAPE / RMSSE
Projects
These are not just tiles. Each project explains the context, the implementation choices, the measurements, and the parts that still need work.

A two-stage machine learning system for intermittent demand forecasting on daily product-level sales data.
Products
20k
History
3 yrs
Zero demand
85%
Metrics
WAPE / RMSSE

Optimized a large-scale ML feature engineering and inference pipeline by reducing unnecessary computation, memory bloat, and Python-level bottlenecks.
Runtime
40m -> 4m
Rows
3M

A confidence-aware visual odometry system combining deep learning-based optical flow and classic computer vision.
Branches
2
Selector
Confidence

A full-stack portfolio platform with dynamic projects, notes, media uploads, admin tools, and secure self-hosted deployment. Active feature development continues.
Stack
Next.js + API
Content
Dynamic

A self-hosted speech transcription and text processing system using Whisper and NLP models.
Languages
TR / EN
Pipeline
STT + NLP

A mobile application concept for children and parents using AI-powered storytelling, video, subtitles, and voice processing.
Roles
Parent / Child
Media
Video + Voice

A Flutter mobile app that detects plant diseases from leaf photos using an on-device TensorFlow Lite model.
Classes
38
Input
224x224

A team-built web platform for the ITU VCAMP project team, combining a public website, content APIs, project pages, team profiles, blog posts, sponsors, and certificate verification workflows.
Team
4-5
Role
Full-stack