
Alexander Finkelshtein
Verified Expert in Engineering
Machine Learning Engineer and Data Science Developer
Tel Aviv-Yafo, Israel
Toptal member since April 28, 2020
Alex is a machine learning engineer and data scientist. He has a solid background in algorithms and engineering robust systems and specializes in predictive modeling and mining insights from data. He has delivered ML-based models for MRI sequence optimization, deep learning for 3D flow profiling of microscopy models, and processor performance prediction by physical parameters. His work has dramatically improved company processes and saved clients both time and money.
Portfolio
Experience
- Machine Learning - 5 years
- Python - 5 years
- Data Science - 3 years
- Deep Learning - 3 years
- MATLAB - 3 years
- Computer Vision - 2 years
- Predictive Modeling - 2 years
- Data Analysis - 2 years
Availability
Preferred Environment
Slack, PyCharm, Linux
The most amazing...
...project I took part in was an ML-based MRI sequence optimization algorithm scheme.
Work Experience
Machine Learning Engineer
DeepSpin
- Led the core machine learning-based optimization algorithms development, running, evaluating, and analyzing different trade-offs in the solution space.
- Played a key role in software infrastructure, performing code architecture, experiment manager integration, profiling and performance, unit testing, and CI/CD.
- Implemented complex MRI physics model. Extended SOTA MRI evolution model with custom 1st order approximation.
Research Assistant - 3D Projection Optimization
Technion Israel Institute of Technology - Freelance
- Implemented high-efficiency optimization algorithm for 3D-lines projection on cube planes.
- Worked with a second-order optimization algorithm to achieve fast convergence.
- Implemented non-trivial optimization space constraints and regularizations to achieve a valid and high-quality solution.
Data Science and Automation R&D
Intel
- Led integration of machine learning methodologies in my team. Developed predictive models and integration methodology.
- Built data visualization and analysis web app that enabled exploration and monitoring of models state.
- Automated complex pipelines for increasing reliability and quality while reducing development friction.
Data Science and Automation Engineer
Intel
- Led a machine learning predictive modeling project from problem definition to implementation, exploring, and overcoming different obstacles to meet defined goals.
- Built a web application tool for data access and analysis for my team.
- Developed a reporting infrastructure to project the status and trajectory of modeling efforts in the team.
Experience
Alpha Zero on Nine Men Morris
https://github.com/moscalej/Alpha-2ZeroEducation
Master's Degree in Electrical Engineering
Technion - Israel Institute of Technology - Haifa, Israel
Bachelor's Degree in Physics
Technion - Israel Institute of Technology - Haifa, Israel
Bachelor's Degree in Electrical Engineering
Technion - Israel Institute of Technology - Haifa, Israel
Skills
Libraries/APIs
PyTorch, NumPy, SciPy, Pandas, Matplotlib, TensorFlow, TensorFlow Deep Learning Library (TFLearn), Scikit-learn
Tools
MATLAB, PyCharm, Slack, Subversion (SVN), Named-entity Recognition (NER), Scikit-image
Languages
Python, Ruby, Python 3, C, C++
Paradigms
Automation
Platforms
Amazon Web Services (AWS), Linux, Docker, Ubuntu Linux
Storage
Data Pipelines
Other
Deep Learning, Predictive Modeling, Machine Learning, Data Analysis, Computer Vision, Optimization, Algorithms, Data Science, Classification, Supervised Machine Learning, Deep Reinforcement Learning, Natural Language Processing (NLP), Image Recognition, Data Visualization, Modeling, Time Series, Medical Imaging, Object Detection, Object Tracking, Predictive Analytics, Optimization Algorithms, Python Performance, Software Design, Optics, Applied Physics, CI/CD Pipelines, Unsupervised Learning, Signal Processing, Digital Signal Processing, Fourier Analysis, Numba, Generative Pre-trained Transformers (GPT)
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