About
I am a computer engineering professional with a strong focus on artificial intelligence, machine learning, and computer vision. Over the past years, I've had the opportunity to lead and contribute to various AI-driven projects, including healthcare technologies, user behavior modeling, and industrial automation systems.
I led an AI team focused on healthcare, where we developed deep learning models and became finalists in national competitions. I also mentored aspiring AI professionals through nonprofit initiatives, helping them gain essential skills in the field.
My passion lies in applying AI to solve real-world problems—whether through data analysis, predictive modeling, or developing innovative solutions in R&D. I am continuously expanding my skills in deep learning, transfer learning, and scalable AI systems, and I am eager to contribute to the continued growth and transformative potential of artificial intelligence.
Most good programmers do programming not because they expect to get paid or get adulation by the public, but because it is fun to program.
-Linus Torvalds
Do not let your fire go out, spark by irreplaceable spark in the hopeless swamps of the not-quite, the not-yet, and the not-at-all. Do not let the hero in your soul perish in lonely frustration for the life you deserved and have never been able to reach. The world you desire can be won. It exists.. it is real.. it is possible.. it's yours.
-Ayn Rand
Skills
Technical
- Python: pandas, numpy, opencv, tensorflow, pytorch, mmtrack
- Machine Learning & Deep Learning: CNN, RNN, LSTM, Transformers, YOLO, ResNet, DeepSort
- Computer Vision: object detection, tracking, medical imaging, neural style transfer
- Data Analysis & Visualization: SQL, MSSQL, data dashboards
- Web Development: C#, .NET Core, MVC architecture
- Dev Tools: Git, Google Colab, Jupyter Notebook
Professional
- Analytical Thinking
- Problem-Solving
- Team Worker
- Strong Communication
- Innovative
- Leadership
- Project Management
CV
Summary
Salih Enes Metin
As a recent Computer Engineering graduate, I have deeply explored artificial intelligence and data science, fields that have continually captivated my interest and driven me to enhance my skills. I am particularly fascinated by the transformative potential of AI, whether in analyzing large datasets or developing intelligent assistants. My education has provided me with a strong foundation in data science and machine learning. I am eager to apply my knowledge to real-world projects and contribute to innovative advancements. With my passion for AI and data science, I am confident in my ability to be a valuable asset.
- Ankara, Türkiye
- metin.salihenes@gmail.com
Education
Computer engineering
2019 - 2024
Cukurova Univesity, Adana, Türkiye
While studying at university, I joined several clubs, including the Community Volunteers Club, where I volunteered to help others, and engineering and team collaboration-focused clubs like IEEE. Additionally, I took on the role of Project Team Lead for a community established at school under the Huawei Student Developers program. For this community, I created a software entry training program for around 40-45 students and later helped them form teams to participate in competitions or projects. Moreover, I formed a team with two friends called Spica Ai. The team's goals were to develop original projects, pioneer works in artificial intelligence, focus on health applications in AI, and participate in competitions. With this team, we advanced to the final round of a Technofest competition and completed numerous projects.
Experience
Software Developer
RENPRO ENERJİ, Ankara, Türkiye
Jan 2025 - Present
Developing intelligent energy management systems, leveraging machine learning frameworks to optimize resource allocation based on user behavior patterns. Involved in the design, implementation, and optimization of backend services using Python, integrating data-driven decision-making for energy sharing systems.
MACHİNE LEARNİNG ENGİNEER INTERN
Teknology House, Adana, Türkiye
May 2024 - June 2024
During my internship, I tracked, counted, and extracted features of objects on the production line using the DeepSort algorithm. For this project, I utilized PyTorch in Python and trained ReID and detection models
Software Specialist Intern
Arçelik, Istanbul, Türkiye
Jul 2023 - Sep 2023
I successfully integrated an advanced data analysis dashboard into the AGV (Automated Guided Vehicle) Management System. This project was developed using a combination of C#, .NET Core, and Python.
Certificates
Deep Learning Specialization
Coursera
TensorFlow Developer Certificate
TensorFlow
Data Analysis
Global AI Hub
Events
Start Up Weekend for all
2019
UNDP
In this event, held under the United Nations Development Programme, I had 48 hours to come up with an idea and form my own team. Afterwards, I developed this idea with my team. I discussed this idea with mentors and eventually made a presentation to impress the jury and gain support. It was a very useful and enjoyable experience for me.
METU VTOL Competition
2022
BOEING
As the SEAGUL team, we successfully passed the conceptual design report of the first stage in the METU VTOL 2022 competition, which was held for the sixth time under the sponsorship of Boeing, 27 teams from 15 different universities from 3 different countries were accepted to the competition and moved on to the next stage.
Artificial Intelligence in Health Competition
2022
Teknofest
As the leader of the Medcom AI team, I led our project to become a finalist in the Teknofest Health Artificial Intelligence Competition, where we developed a system to detect seven different diseases in abdominal tomography images.
Projects
Computer Vision-based Disease Detection for the Abdominal Region
An application has been developed using CT series of the abdomen, both with and without contrast, for six different clinical conditions that resulted in emergency department admissions with complaints of abdominal pain. These data were used to train an original model combining YOLO and ResNet for the desired classification predictions. Read More
BIRADS Category and Breast Composition Prediction in Screening Mammography with Computed Vision
In this project, a model based on ResNet pre-trained on TUSEB's mammography data was developed to perform BRADS category and composition classification Read More
Cukurova University CENG Q&A BOT
In this project, a question answering bot based on the word2vec model trained with the QA data set was developed for the computer engineering department of Çukurova University. The data set was divided into categories and a separate model was developed for each category.Read More
Product Line Object Tracking with mmtrack
This project focuses on the application of artificial intelligence for object tracking and counting on a product line using the MMTracking library. The project addresses challenges such as accurate object detection and tracking in a dynamic production environment. Read More
My Blog Posts
Contact
Email:
metin.salihenes@gmail.com