☕️Lead ML Engineer
About Me
Lead Machine Learning Engineer with over 5+ years of experience in developing AI solutions, specifically Computer Vision and NLP projects. Proficient in Python deep learning, computer vision, and NLP, with a proven track record of driving business impact. Skilled in mentoring teams, optimizing workflows, and contributing to research with papers submitted to top conferences.
Interests
- Deep Learning
- Computer Vision
- Natural Language Processing
- Reinforcement Learning
Education
MSc Computer Science
University of Tennessee
Recent Publications
(2023).
Sentiment Analysis in Turkish Using Transformer-Based Deep Learning Models.
4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering.
(2023).
Transfer Learning Based Flat Tire Detection by Using RGB Images.
4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering.
(2023).
Twitter-informed Prediction for Urban Traffic Flow Using Machine Learning.
2022 6th International Conference on Universal Village (UV).
(2022).
Utilizing Machine Learning to Predict Offshore Wind Farm Power Output for European Countries.
2022 11th International Conference on Renewable Energy Research and Application (ICRERA).
(2021).
Deep learning based automatic vertical height adjustment of incorrectly fastened seat belts for driver and passenger safety in fleet vehicles.
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.