Lara Gul Kucukdevlet

Graduation Date:01-24-2025

Open to self-development and loves to learn. Comply to given deadlines and works diligently with excellent organizational and a leadership skills. Works well alone and in teams making valid contributions to the department and has good interpersonal skills and ready to be an asset to the department; punctual, meets deadlines and works well under pressure. Has good IT skills. Bi-lingual and holds dual nationality (Turkish and British). Following certificate programs and courses that will improve my career. Finished the track Program in the field of Artificial Intelligence at school. Met a broad range of people with hugely varied skillsets and gained new perspectives and new skills.

Newly Graduated Computer Engineer

Çağatay Avşar: Director of System Management at Fibabank

Sefa Eker: System and Middleware Manager at Fibabank 

Şükrü Güçlü Dutluca: Siemens Turkey Cyber Security Manager

Ahmet Furkan Kaya: Siemens Cyber Security Team leader

İlhan Tosyalı: Founder of Tosso Engineering

• Innovative Solutions in the Digital Banking Ecosystem: Our project became first in the hackathon organized among Finterns with the support of Coderspace by Fibabank.With our EcoHarcama project, we categorized and analyzed our customers' expenditures to calculate their carbon footprints and propose offset projects for expenditures with high carbon footprints.
• Kemohem: The application we have designed strengthen oncology nurses’ knowledge and enhances their efficiency by providing up to date information about drugs and offering a discussion forum to help them work collaboratively. Our goal is to create a cross-platform compatible application for both iOS and Android to reach a broader audience of oncology nurses.
• NLP Sentiment Analysis: Fundamentals of implementation from scratch with NLP. IMDB raw dataset is used. The working principle of algorithm is based on Naive Bayes.
• MLPS and backpropagation: Embedding and backpropagation techniques are implemented from scratch.
• Convolutional Neural Network: Effect of hyperparameters are investigated on CNN models and transfer learning. As dataset, art&artist dataset by Zoya Bylinskii is used.
• Recurrent Neural Network: Binary classification with RNN model and language modelling with LSTM layers are studied.
• Graph Neural Network: Fundamentals of graph network and attention implementation for node classification are studied in the project. As dataset, cora set is used.