Senanur Şahin
İstanbul
Summary
Artificial Intelligence Engineer
I am an AI and machine learning professional with a passion for developing intelligent systems that solve real-world problems. I have hands-on experience with Generative AI, including LLMs, Transformer architectures, and Retrieval-Augmented Generation (RAG), enabling more effective information retrieval and content generation. I enjoy working collaboratively to turn complex AI concepts into impactful solutions. Known for my adaptability, attention to detail, and commitment to continuous learning, I strive to stay ahead in the rapidly evolving AI landscape.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Artificial Intelligence Engineer
PONS Technology
02.2024 - Current
- Joined the Acceleration Program organized by Mayo Clinic, one of the world’s most prestigious medical institutions based in the USA, to develop innovative solutions in healthcare and artificial intelligence.
- Developed advanced Python algorithms to enhance ultrasound image quality, resulting in a 30% increase in image clarity and accuracy metrics
- Consulted with managers to determine and refine machine learning objectives.
- Researched and developed cutting-edge Text2Image generation algorithms using diffusion models (LoRA, LoRA+, MoRA) and worked on synthetic data augmentation using Generative AI techniques
- Researched and implemented best practices to improve existing machine learning infrastructure.
- Utilized advanced machine learning algorithms to fine-tune models using pre-trained data, resulting in a significant increase in accuracy from 66% to 70%
- Writing papers for TUBITAK and some journal (IJCARS)
- Developed image processing and ultrasound image analysis projects using Vision Mamba and MedMamba deep learning models
Artificial Intelligence Engineer
Radbil Bilişim Sağlık A.Ş
10.2022 - 12.2023
- Working with NLP for Speech Recognition, Speech-to-Text, and Text-to-Text projects
- Conducting research in the healthcare field by utilizing deep learning for segmentation and classification
- Performing image processing and image segmentation using Python with Tensorflow, Pytorch, and Detectron2 libraries
- Performing single and multi-class classification as well as regression analysis on medical images
- Developed innovative AI algorithms by researching and implementing cutting-edge machine learning techniques.
Long Term Software Development Intern
Grifin Technology
07.2021 - 12.2021
- Extracting BL numbers from invoices using deep learning models with OCR and Tesseract libraries, and sending them to the customer via email using Python code
- Active involvement in enterprise projects, actively managing databases using SQL
Software Engineer Intern
Jubatus Bilişim ve Eğitim Hiz. A.Ş
07.2019 - 09.2019
- I've learned the fundamentals of machine learning with Python and gained knowledge in conducting regression analyses
- Partnered with team members to learn best practices in software design.
Education
Mechatronics Engineering -
Karabuk University
Karabuk, İstanbul06.2022
Skills
- Python
- Deep Learning
- Machine Learning
- Generative AI
- Synthetic Data Augmentation
- PyTorch & TensorFlow frameworks
- Transformer Architecture
- Retrieval-Augmented Generation (RAG)
- Conversational AI (Chatbots, AI Assistant)
- Large Language Models (LLMs) & Fine Tuning
- Model evaluation
- Pandas, Numpy
- SQL
- GCP
Accomplishments
- Utilized AI-based computer vision and deep learning techniques to segment, characterize, and generate biomarkers from ultrasound and medical images. Advanced image processing algorithms were employed to enable early and precise disease detection, contributing to clinical decision support systems.
- The project aims to develop AI-assisted mobile ultrasound software, utilizing artificial intelligence and deep learning techniques for ultrasound image analysis, automated diagnosis support, and accelerated clinical decision-making.
- Optimized for mobile devices, this software is designed to integrate with portable ultrasound systems, providing healthcare professionals with real-time image processing and evaluation capabilities.
- Developed advanced Python algorithms to enhance ultrasound image quality, resulting in a 30% increase in image clarity and accuracy metrics. | Generative AI, Python, LoRA, LoRA+, ResNET50
- Provision, labeling, training and testing of data for the conversion of audio data recorded by doctors to text
- Using the audio-to-text conversion model with docker
- Classification of audio recordings converted to text
- Conversion of special audio recordings (such as Brain, Thorax, MR, CT) into reports
- Labeling of malignant and benign tumors on mammography images, data preparation, training and testing
- Detection of malignant and benign tumors and quadrants in mammography images
PONS Technology
Artificial Intelligence for Ultrasound and Medical Imaging: Image Segmentation, Characterization and Biomarker Development
Development of AI-Powered Mobile Ultrasound Software
Image Enhancement & Quality Improvement
Radbil Sağlık Bilişim
Reporting using Speech2Text with NLP
Detection of Malignant and Benigns in Mammo Images
REFERENCES
Ferit ŞAHİN - Kurumsal ve Ticari Krediler Grup Müdürlüğü / Devam Eden İnşaat Projeleri Kıdemli Yönetmeni - Kuveyttürk Katılım Bankası - fsahin@kuveytturk.com.tr
Emre GÜLERYÜZ - Sr. Big Data Engineer - FLO - emreguleryuz61@gmail.com
Certification
- Generative AI Learning Path - Google for Developers
- Generative AI for Everyone - DeepLearning.AI
- Fine-Tuning Large Language Models - DeepLearning.AI
- Veri Bilimi için Python ve Tensorflow - BTK Akademi
- Data Engineering Mini Bootcamp - Veri Bilimi Okulu
- Teknofest 2021 & 2023 AI in Health Competition Participation Certificate - Teknofest
- Teknofest 2021 Fighter UAV Competition Participation Certificate - Teknofest
- Teknofest 2019 Rocket Competition Participation Certificate - Teknofest (3rd Place)
Languages
Turkish
English
Korean
Timeline
Artificial Intelligence Engineer
PONS Technology
02.2024 - Current
Artificial Intelligence Engineer
Radbil Bilişim Sağlık A.Ş
10.2022 - 12.2023
Long Term Software Development Intern
Grifin Technology
07.2021 - 12.2021
Software Engineer Intern
Jubatus Bilişim ve Eğitim Hiz. A.Ş
07.2019 - 09.2019
Mechatronics Engineering -
Karabuk University
Similar Profiles
Nayla OrtizNayla Ortiz
Gynecology and Obstetrics at Hospital Adolfo PonsGynecology and Obstetrics at Hospital Adolfo Pons
Kirill ProshutinskyKirill Proshutinsky
Design Assistant at MUCHACHE By Sebastian PonsDesign Assistant at MUCHACHE By Sebastian Pons
Celia CorchadoCelia Corchado
Planning Technician at Importaco Casa Pons, S.A.U.Planning Technician at Importaco Casa Pons, S.A.U.