More about me
From the vibrant streets of Istanbul to the scholarly corridors of Lamar University in Texas, my software engineering journey is marked by a relentless pursuit of knowledge and innovation. Holding a Bachelor’s degree in Computer Science from Marmara University and Master’s at Lamar University, I am deeply committed to advancing in technology and software development.
Away from the keyboard, you might find me delving into the latest tech trends, lifting weights at the gym, enjoying a good book, or unwinding with my favorite TV shows. I believe in maintaining a balanced life to fuel creativity and innovation.
Throughout my career, I've navigated through diverse roles that have each contributed to my development:
Mobile Application Development: Engineered intuitive mobile interfaces to enhance user experience and functionality.
Full Stack Web Application Development: As a key full-stack engineer, I engineered theContinuous Improvement Softwareproject using Node JS and React JS to automate suggestion, kaizen, and near-miss workflows, serving over 1,000 users across four companies.
Research in Machine Learning: Created a novel dataset generator for skin lesion analysis and developed real-time anomaly detection algorithms, pushing the boundaries of AI.
Each role has been a stepping stone towards a deeper understanding of the technical aspects of software development. My goal is always to build software that every line of code not only functional but also impactful
Here are a the technologies I’ve been working with recently:
- Python
- TensorFlow
- PyTorch
- TypeScript
- Next.js
- Tailwind CSS
- JavaScript (ES6+)
- React
- Node.js
- SQL (PostgreSQL)
- NoSQL (MongoDB)
- Docker
- Git
- Agile
My Professional experience
Research Assistant
@Lamar University
January 2023 - Present
- Development and Analysis of Anomaly Detection Systems for Buckeye Partners Supervised by Dr. Zhang:
- Collaborated with Buckeye to collect and analyze sensor data from pumps, creating a verified dataset.
- Trained machine learning models, including AutoEncoders, TranAD, and SAMFormer, for data labeling, anomaly detection, and forecasting.
- Created open-source RESTful APIs with Flask and a NextJS web interface to manage and display results.
- Development of Dataset Generator and Evaluation of Deep Learning Models Supervised by Dr. Kockara:
- Engineered TBPGen with C# and Unity Engine, generating 1,398 diverse total body photography images.
- Evaluated skin lesion detection and segmentation using Python/Pytorch across 13 deep learning models.
- Achieved 90% of IoU and F1 scores, demonstrating the TBPGen dataset’s enhancement in detection and segmentation accuracy.
Some Projects I've worked on
Portfolio Website
Designed and developed a personal portfolio website using Next.js and Tailwind CSS.
- Next.js
- Tailwind CSS
- Typescript
DevGPT Mining Challenge
Performed topic modeling on developer interactions with ChatGPT to identify common discussion themes.
- Python
- Data Analysis
- NLP
Cat Facts WebApp
A website that displays random cat facts using HTMX and Flask by using the Cat Facts API.
- Python
- Flask
- HTMX
WaSeat Transport App
Mobile app for tracking transportation routes and carbon footprint. Achieved 2nd place in the Flutter hackathon.
- Flutter
- Dart
- Firebase
Flutter Code Generator
A VS Code extension to automate Flutter architecture file generation for Flutter applications.
- Javascript
- VS Code Extension
Ahtapot Marin Website
A responsive website with React, featuring product listings, and contact information.
- React
- CSS
- Firebase