
I am a PhD. candidate at METU in the field of Computer Vision / Deep Learning
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Assessing your cultural and operational fit
EverPixel-Yazilim-Anonim-Sirketi
Data Scientist
June 22, 2026 – Present
lama_inpaint_android
September 25, 2025 – October 25, 2025
On-device Android img2img/inpainting with ONNX Runtime. Kotlin UI drives a C++ core via JNI: model loads from assets to cache, image+mask are preprocessed to NCHW floats, native session runs, and a Bitmap is reconstructed. Minimal refactor from a classification skeleton; drop-in ONNX swap.
View Projectpixtune-app-clone
March 4, 2024 – March 5, 2024
A mini clone of the PixVibe app developed with Flutter; allows users to select images from the gallery, capture them via camera, apply desired image processing operations, and then save to the gallery or share directly.
View ProjectMSLG_noisy_label
July 11, 2020 – October 12, 2020
Official code for the paper "Meta Soft Label Generation for Noisy Labels" accepted at ICPR 2020.
View Projectct_imaging_simulation
April 5, 2020 – April 5, 2020
Computerized Tomographic Imaging Simulation with Fan Beam Projection and Algebraic Reconstruction
View Projectdeep_learning_with_noisy_labels_literature
December 9, 2019 – September 20, 2021
This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
View Projectcorrupting_labels_with_distillation
October 23, 2019 – November 14, 2022
Code for paper "Label Noise Types and Their Effects on Learning"
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on research-oriented deep learning and image processing, which aligns well with a Data Scientist role. However, the diversity of projects also includes mobile development (Android, Flutter) which, while demonstrating breadth, might indicate a less focused career path if not directly related to data science applications. The current role as 'Data Scientist' is a strong fit, but the start date being in the future (2026) suggests this is a prospective or planned role, not current experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.