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(Päivitetty 2021-12-27)ML / AI Engineer
İstanbul, Türkiye
Äidinkieli English
- + 5 years of experience in Deep Learning
- + 7 years of experience in Python
- + 5 years of experience in Machine Learning
Taidot (15)
Machine Learning
NEUROSCIENCE
ROBOT OPERATING SYSTEM
KERAS
OPENCV
TENSORFLOW
COMPUTER VISION
Deep Learning
SIGNAL PROCESSING
SENSORS
SEGMENTATION
ROBOTICS
CONTROL ALGORITHMS
KALMAN FILTER
NEURAL NETWORKS
Yhteenveto
I am a diligent, hardworking, and very knowledgeable engineer who has about six years of experience in @electronics and computer engineering and has specialized in artificial Intelligence and machine learning. @Thanks to my academic background and work experience, I have knowledge and experience in a variety of @fields. This is the most important feature that distinguishes me from other engineers. I look at problems @from a different aspect, and I usually find faster and more precise solutions to the problems I Encounter. My @future objective is to both use and to enhance the knowledge I have in the field of deep learning. Working on and developing advanced technologies in a competitive environment is among my biggest ambitions.
Työkokemus
2021-03 - Nykyhetki
• Deep Learning: Design an image segmentation model that would be trained on computer-based generated synthetic data, and would be applied and used with real camera data. I have used a stateof-the-art model, but mostly focused on the data augmentation and training phase. I have applied various image transformation methods before training to make my model to be more robust against
texture similarities. I have designed the model such that the model mostly focuses on the shape rather than texture, which is still the state-of-the-art problem.
• Image Processing: Design a 3D Blender model to generate computer-graphics based dataset. I have applied various serious data augmentation methods to make the synthetic data to be more similar
to the real camera case.
• Deep Learning: Research and implement state-of-the-art models to track human body skeleton using Kalman Filter and Deep Learning.
• Signal Processing: Design a low pass filter to decrease the noise on the 2D keypoints on a video
2018-10 - 2021-03
• Machine Learning: I have done a Gesture classification using openCV and Neural Networks. The Histogram of Gradients and Motion Vectors from optical flow are used as tools for feature extraction. Then Support Vector Machines and Artifical Neural Networks are applied for the classification purpose.
• Robotics: Robotic Operating System environment is used to design a navigation algorithm for robot. Signal processing techniques on LIDAR and various sensors data are conducted to control the path
planning.
2017-04 - 2018-10
Neuroscience: Brain Connectivity Analysis by Dynamic Bayesian Network, Diffusion Tensor Imaging
• Machine Learning: I have studied the effect of number of samples on the convergence of the Bayesian Networks.
2018-01 - 2018-06
Koulutus
2020-01 - 2024-01
2017-01 - 2020-01
2011-01 - 2016-01
2011-01 - 2016-01