Personal details

Ahmet Ö.

Timezone: Istanbul (UTC+3)

Technical skills

Computer Vision・5 yrs Deep Learning・4 yrs Machine learning・4 yrs LLM・2 yrs Object-Oriented Programming・5 yrs Python・5 yrs Java・6 yrs C++・4 yrs Solidity・3 yrs Blockchain・3 yrs Spring Boot・5 yrs Database・5 yrs Ethereum・3 yrs OpenCV・5 yrs

About

About Me

I am an experienced AI and Computer Vision Specialist with a Master’s degree in Computer Vision and a recipient of the Google Inside Look 2019 Award. My expertise lies in developing advanced solutions in Deep Learning, Machine Learning, and Image Processing, with a strong focus on building and optimizing AI-driven systems.

I have successfully built AI teams using Gemini, Groq, and Phidata, enabling multi-agent collaboration for tasks such as data collection, processing, and analysis. Additionally, I specialize in Face Recognition, Object Detection, and Video Analysis, leveraging technologies like TensorFlow, Keras, and OpenCV to deliver impactful solutions.

Key Achievements

Optimized an object detection pipeline for a startup, reducing processing time by 40%.
Built and deployed end-to-end ML models for image classification in production environments.
Guided junior developers in designing and training custom CNNs, improving team performance.

Mentorship Philosophy

I excel at breaking down complex AI concepts into digestible steps, empowering both beginners and experienced developers. Whether you're starting your journey in AI or looking to fine-tune and scale your solutions, I’m here to guide you with practical, hands-on advice.

GitHub: github.com/ahmetozlu
Papers: Facial Expression Recognition | Automatic Age Estimation

Work Experience

Senior software engineer

Garanti BBVA Technology | Feb 2018 - Present

Java

JBoss

Jenkins

Spring Boot

Swagger

RESTful API

- Design, lead development and maintenance of Online & Bulk SMS System of Garanti Bank (BBVA) which serves millions of users every day, and work on AI based research projects that have critical revenue impact. - Using Maven as dependency management tool, git for version control, Jenkins for Continuous Integration and JBoss as deployment tool.

Computer Vision Researcher

SiMiT Lab | Jul 2017 - Present

Python

Linux

OpenCV

Ubuntu

NumPy

Matplotlib

Pandas

TensorFlow

Keras

- Researching novel facial image processing and analysis, under the supervision of Prof. Hazim Kemal Ekenel. - Developing multi-view face recognition system by my own design CNN architecture to improve accuracy and speed of current face recognition systems.

Projects

TensorFlow Object Detection API

2018 | https://github.com/ahmetozlu/tensorflow_object_counting_api

Python

NumPy

Machine learning

Computer Vision

Deep Learning

TensorFlow

The TensorFlow Object Counting API is an open source framework built on top of TensorFlow that makes it easy to develop object counting systems!

Collaborative City Co-design PlatfOrm (CP3O)

2017 | https://itea3.org/project/c3po.html

C3PO aims at providing a Cloud collaborative and semantic platform for city co-design. The C3PO platform is unique in that it covers the whole urban project development process where cities empower, encourage and guide different stakeholders to develop an urban project together. C3PO does not intend to replace or modify the existing applications offering unique but partial solutions of city co-design but can be seen as an open and generic intermediary that enables the interaction between existing applications through a unique multi-dimensional semantic repository. Awarded "EUROKA Innovation of Tomorrow Award" and "ITEA Award of Excellence" in 2018.