Yasin Tunçer's Resume

Yasin Tunçer

Software Engineer | AI Researcher

Bursa, Turkey, TRT

Yasin Tunçer's profile picture

About

Software Engineer and AI Researcher with experience in both industry and academia. Skilled in developing scalable software architectures and AI solutions. Dedicated to researching and adapting to new technologies, with experience in managing R&D projects funded by national research agencies (TUBITAK).

Work Experience

AIT

2018 - 2024

R&D AI Researcher

Conducted R&D on AI solutions, specifically focusing on computer vision and digital image processing.
  • Designed and deployed generative AI models for industrial applications.
  • Built deep learning pipelines for computer vision applications in production environments.
  • Developed on-premise AI systems and infrastructure.
  • Led projects funded by TUBITAK TEYDEB 1505.

Histopathai

2024 - Present

Full Stack Developer & AI Researcher

Building AI-powered solutions for medical imaging and histopathology as part of master's degree research.
  • Developing generative AI models for synthetic data generation.
  • Architecting scalable backend infrastructure using Go and Python.
  • Managing cloud deployments and services on Google Cloud Platform (GCP).
  • Collaborating with pathologists to refine AI diagnostic tools.
  • Conducting research supported by the TUBITAK ARDEB 1005 grant.

Education

Bursa Uludağ University

2012 - 2018
Bachelor's Degree in Electronics and Communication Engineering

Bursa Uludağ University

2024 - 2027 (Expected)
Master's Degree in Computer Engineering

Skills

  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Vision Transformers
  • Transformers
  • Stable Diffusion
  • GANs
  • Python
  • PyTorch/TensorFlow
  • OpenCV
  • C++
  • Go
  • TypeScript
  • Linux
  • Docker
  • Cloud Platforms (GCP, AWS)
  • System Architecture

Projects

Aitools

Developed an AI-powered tool platform offering various utilities such as image generation, enhancement, editing, and more for textile designers and digital artists.

  • Python
  • Generative AI
  • Stable Diffusion
  • Vision Transformers
  • Computer Vision
  • Docker
  • Linux
  • OnPremise Systems
  • MLOps

Archivist

Developed an AI-powered document management system utilizing advanced computer vision techniques to automatically categorize, tag, and retrieve documents based on their content, enhancing organizational efficiency.

  • Python
  • C++
  • Machine Learning
  • Computer Vision
  • Deep Learning
  • Big TIFF Handling
  • PSD Parsing
  • Docker
  • Linux
  • OnPremise Systems

Fabric Defect Detection System

Developed a real-time system for detecting fabric defects before digital printing.

  • Python
  • C++
  • Computer Vision
  • Deep Learning
  • Embedded Systems
  • Linux

Cxr-Diffusion

Developed a system to generate synthetic chest X-ray images using diffusion models to augment medical datasets

  • Python
  • Deep Learning
  • Generative AI
  • Diffusion Models
  • Medical Imaging

Histopathai Viewer

Developed a web-based viewer for high-resolution histopathological images, featuring AI-powered annotation and real-time analysis tools

  • Go
  • Python
  • Medical Imaging
  • AI Integration
  • Cloud Deployment
  • TypeScript
  • Vue.js
  • Docker

E-Commerce Customer Review Sentiment Analysis

Developed a sentiment analysis tool to evaluate customer reviews for e-commerce platforms, providing actionable insights into customer satisfaction and product feedback.

  • Python
  • Natural Language Processing
  • Text Embeddings
  • Transformers
  • Machine Learning
  • Data Analysis

PiCam - Raspberry Pi Camera Module

Developed a custom camera module application on Raspberry Pi utilizing the libcamera API. Features Dual Stream support for simultaneous still capture and video streaming.

  • C
  • C++
  • Raspberry Pi
  • Embedded Systems
  • Linux