Taha S. - Fullstack Software Engineer

Rome, Italy

Experience

Jul 2024 - Present

1 year 4 months

Graz, Austria

Developing AI solutions with a tech stack that includes React.js and Next.js for the frontend, and Python for the backend.
Leveraging Prisma, PostgreSQL, Azure AI services, and DigitalOcean’s buckets.
Implementing cost-effective solutions, resulting reductions in project expenses.
Streamlined project workflows, enhancing overall efficiency.
Supporting a team in successfully delivering complex, fully-covered AI tasks on time and within allocated budget.

Feb 2024 - Jun 2024

5 months

Rotterdam, Netherlands

Automated wire detection and measurement in Python, achieving 1mm accuracy.
Executed advanced measurement optimization using nonlinear regression, cubic spline interpolation, and density-based clustering, boosting data analysis accuracy by 40% and reducing processing time by 25%.
Deployed ChArUco calibration with OpenCV, enhancing camera accuracy and stability, resulting in a 30% reduction in tracking errors and a 20% improvement in undistortion accuracy.
Improved measurement speed by 250% by converting from sub-pixel to real length.
Created a user-centric Tkinter UI, reducing manual input errors by 35% and error correction time by 30%.

Aug 2023 - Nov 2023

4 months

Cologne, Germany

Integrated Ecwid API into a Python-based system to automate user trip data storage, saving 30 hours per week and minimizing data errors.
Developed and implemented custom scripts using Google API for efficient CRUD operations in Google Spreadsheets, reducing manual data entry errors by 50%.
Optimized a script for continuous integration, enhancing data integrity and improving access speed by 25%.

Jun 2022 - Sep 2022

4 months

Ankara, Turkey

Devised a C# desktop app for configuration and stock management, increasing data handling by 17%.
Participated in code reviews, gaining feedback from senior engineers and experience in writing scalable code.
Spearheaded a mobile app in React Native using Firebase for authentication with an intern.
Tested and fine-tuned both apps, reducing bugs by 5% for the desktop app and 13% for the mobile app.

Developed an electronics shop app with Java Spring Boot and React.
Designed optimized MySQL schemas, reducing data redundancy by 24% and improving response time by 19%.
Enhanced security with JWT and encryption, cutting unauthorized access by 40%.
Implemented Okta authentication and Stripe API for secure payments, boosting security by 35%.
Created a responsive UI for mobile and web.

Trained a Keras model with TensorFlow in Python, achieving 90% training accuracy and 88% validation accuracy after 50 epochs, demonstrating significant improvement.
Reduced the training loss to 0.2 and the validation loss to 0.3, indicating effective learning and generalization.
Implemented dropout layers to reduce overfitting, improving the models performance on unseen data by 15%.
Organized and utilized Kaggle datasets to classify 7 emotions.
Integrated Spotify API with Python for emotion-to-genre estimation, increasing user satisfaction by 27%.
Designed a user-friendly interface for interaction with various CRUD options in Flutter.