Utku Uyar
Big Data Intern
Experience
Combining Neural Fields with Hypernetworks
- Developed a meta-learning approach with a teammate to merge multiple neural fields into a single scene representation using a hypernetwork.
- Implemented and evaluated the method on 2D (MNIST) and 3D (ShapeNet) data, showing faster inference compared to overfitting-based baselines.
Data Analytics for Yacht Chartering
- Collaborated in a team of four to build predictive models and a dashboard for yacht chartering as a part of my interdisciplinary project (IDP) at TUM.
- Conducted exploratory data analysis (EDA), feature engineering, and clustering (HDBSCAN) to define sailing areas.
- Developed demand forecasting, pricing, and segmentation models to support yacht owners and charter companies in strategic decision-making.
Career Advisory in VR
- Created a VR game that runs on browsers to aid students in their career decisions with realistic and immersive simulations.
Big Data Intern
HAVELSAN
- Learned to use open-source software that is built to process and stream large-scale data, like Apache Spark and Apache Kafka.
Intern
Parton Big Data Analytics and Consulting
- Designed and built web applications that serve different purposes with HTML, CSS, JavaScript, and Python.
- Created a console application for cloud services with various features, such as AWS EC2 instance creation and a fully working SSHv2 terminal for EC2 instances.
- Developed a dashboard application for visualizing the results of an artificial intelligence system that predicts quality scores of production in real time.
- Trained, evaluated, and compared different deep learning models like LSTMs and Transformers for time series forecasting problems with PyTorch.
Undergraduate Research Member
ITU Vision Lab
- Finished online courses and lectures for computer vision with deep learning.
- Completed the material for the lecture “Deep Learning for Computer Vision” from Michigan University.
- Completed my bachelor’s thesis on Novel Class Discovery in a continual learning setting.
- Read and studied both fundamental and recent publications on the topics of continual learning and self-supervised learning.
- Designed and tested various deep learning models with PyTorch for improving the performance of state-of-the-art methods by integrating new ideas from self-supervised learning.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Information Technology (2 years), Education (2 years), Professional Services (1 year), and Tourism (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (2 years), Information Technology (2 years), Business Intelligence (1 year), and Strategy (0.5 years).
Languages
Education
Technical University of Munich
MSc in Informatics · Informatics · Munich, Germany · 1.5 / 1.0
Istanbul Technical University
BSc in Computer Engineering · Computer Engineering · İstanbul, Turkey · 3.82 / 4.0
Profile
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