ESRA NUR YİĞİT
Computer Engineering Student
Istanbul
Summary
Highly motivated software engineering candidate with practical experience in coding, debugging, and software development lifecycle. Demonstrates strong focus on team collaboration and delivering results, with ability to adapt to changing project requirements. Skilled in programming languages such as Python, Dart and C++, and proficient in problem-solving and algorithm design. Reliable team player with strong drive for achieving impactful outcomes.
Overview
1
1
year of professional experience
6
6
Certifications
3
3
Languages
Work History
Software Engineering - Intern
MetaLore AI
06.2025 - Current
- As a Summer AI/ML Intern at MetaLore, I built robust machine learning pipelines using Python, Apache Airflow, and Kubernetes. I focused on end-to-end workflows—from ETL and feature engineering to model training and deployment—gaining hands-on experience in developing production-ready AI systems.
- I also worked with PostgreSQL for managing structured data and used Termius for remote Linux server access. My understanding of the Linux environment supported performance tuning and system-level optimization of ML applications.
- In parallel, I contributed to Alpha.AI, a demand forecasting and recommendation system for the retail sector. I developed a data pipeline using Python, SQLAlchemy, Pandas, and FastAPI, with key components including:
- ETL Pipeline Design: Extracting, cleaning, and transforming data from sales, calendar, and weather sources
- Cartesian Join Algorithm: Merging calendar and sales data to forecast missing periods
- API Development: RESTful services for sales insights and budget planning
- Microservice Architecture: Dockerized deployment with Kubernetes
- This experience enhanced my skills in modular system design and production-level AI development for real-world use cases.
- Part-Time Working Student
- Collaborated with software engineers to develop and test application procedures for system efficiency.
Image Processing - Team Member
Aeronist Aerospace
12.2024 - 09.2025
- As a part of the Aeronist Aerospace team, I am actively involved in the development of an autonomous Unmanned Aerial Vehicle (UAV) for the Teknofest Combat UAV competition, as part of the Aeronist Aerospace team. My responsibilities include implementing real-time object detection and tracking systems using YOLO-based deep learning models. I focus on image processing, model optimization, and deploying high-performance inference pipelines on embedded platforms such as NVIDIA Jetson. The objective is to enable robust and intelligent visual perception for UAVs operating in dynamic, high-speed environments.
- Contributed to team success by completing jobs quickly and accurately.
- Contributed to a positive work environment by consistently demonstrating professionalism, adaptability, and strong interpersonal skills.
Education
B.Sc. - Computer Engineering
ISTANBUL ZAIM UNIVERSITY
01.2026
FREIE UNIVERSITAT BERLIN
02-2025
Skills
- Project Management
- Public Relations
- Teamwork
- Troubleshooting
- Software Development
- Time Management
- Effective Communication
- Critical Thinking
- Python
- PostgreSQL
- ML Modeling
- Linux Kernel
- RESTful API usage / Fetching data via APIs
- Docker/Kubernetes
- Version control with GitHub
- Familiarity with transformer-based models (eg, GPT, BERT)
Certification
Mobile Campus Information System
Timeline
Software Engineering - Intern
MetaLore AI
06.2025 - Current
Image Processing - Team Member
Aeronist Aerospace
12.2024 - 09.2025
B.Sc. - Computer Engineering
ISTANBUL ZAIM UNIVERSITY
FREIE UNIVERSITAT BERLIN