Shaya Goodman
Summary
I am an experienced DL researcher with a strong focus on medical applications. With a Master's in Computer Science and over 4 years of experience. I am passionate about using my skills to create impactful healthcare solutions.
Overview
5
5
years of professional experience
6
6
years of post-secondary education
Work history
Senior Algorithms Developer
Ibex Medical Analytics
2022.04 - Current
- Developed a deep learning model for accurate detection of cancer in biopsy samples.
- Formulated a heuristic-based algorithm to assess the severity of cancer.
- Enhanced model inference speed by 60% through multiprocessing and integration of TensorRT.
Deep Learning Researcher
Magentiq Eye
2020.02 - 2021.10
Developed a single-stage object detection system for cancer identification during colonoscopy procedures.
- Designed an architecture combining LSTM and ResNet to utilize historical data for enhanced frame analysis in video sequences.
Machine Learning Engineer
GE HealthCare
2018.08 - 2019.05
- Developed an LSTM (Long Short-Term Memory) neural network to process and analyze free-speech medical report text.
- Successfully classified medical report content into 'observations' and 'action items', enhancing the workflow of medical professionals and improving report utilization.
Education
MSc - Computer Science
Tel-Aviv University
2020.10 - 2022.10
BSc - Computer Science
Technion
2017.03 - 2020.10
Skills
Computer Vision
Pytorch
TensorFlow
Git
SQL
Languages
English
Fluent
Timeline
Senior Algorithms Developer
Ibex Medical Analytics
2022.04 - Current
MSc - Computer Science
Tel-Aviv University
2020.10 - 2022.10
Deep Learning Researcher
Magentiq Eye
2020.02 - 2021.10
Machine Learning Engineer
GE HealthCare
2018.08 - 2019.05
BSc - Computer Science
Technion
2017.03 - 2020.10