ConnectX
A Reinforcement Learning Model Designed to play Connect4, Connect 5, etc
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Neural_Network
A Neural network Written Entirely from Scratch.
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Michael Steinberg
Mentor
(1 reviews)
US$13.00
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ABOUT ME
AWS and GCP Certified ML Engineer, Certified Tensorflow Developer
AWS and GCP Certified ML Engineer, Certified Tensorflow Developer
Hi there! I am an undergraduate student at Northeastern University pursuing a career in Data Science, Machine Learning and/or Artificial Intelligence. I am an AWS Certified Machine Learning Specialist, Google Cloud Certified Machine Learning Engineer, and a Google Cloud Certified Tensorflow Developer.
Eastern Time (US & Canada) (-05:00)
Joined December 2020
EXPERTISE
3 years experience | 1 endorsement
I have significant experience working with a variety of Machine Learning and Deep learning projects. These include computer vision tasks ...
I have significant experience working with a variety of Machine Learning and Deep learning projects. These include computer vision tasks during my latest internship, as well as projects for a Non-profit and Independent Projects. I am confident my Machine Learning experience would meet any bar that would reasonably be set.
4 years experience
3 years experience
I've worked on a variety of deep learning problems ranging from computer vision tasks to natural language processing to reinforcement lea...
I've worked on a variety of deep learning problems ranging from computer vision tasks to natural language processing to reinforcement learning.
1 year experience
I have been Certified as an ML Engineer on GCP and a Machine Learning Specialist on GCP.
I have been Certified as an ML Engineer on GCP and a Machine Learning Specialist on GCP.
1 year experience | 1 endorsement
Java is the main language that courses are taught in at Northeastern University. While I do not have professional experience with Java, I...
Java is the main language that courses are taught in at Northeastern University. While I do not have professional experience with Java, I feel I have sufficient experience that I could adapt to a workflow that utilizes java.
1 year experience
I’ve done a lot of work with SQL and NoSQL databases while preparing for AWS and GCP Certifications
I’ve done a lot of work with SQL and NoSQL databases while preparing for AWS and GCP Certifications
REVIEWS FROM CLIENTS
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SOCIAL PRESENCE
740 Reputation
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5
16
EMPLOYMENTS
R&D Data Sciences Intern
Johnson and Johnson
2020-06-01-2020-08-01
Built pipeline to create heatmaps for multi-GB whole slide images and view them over the web with zooming enabled.
• Deployed infrastruct...
Built pipeline to create heatmaps for multi-GB whole slide images and view them over the web with zooming enabled.
• Deployed infrastructure with Apache Spark, Kubernetes, and Horovod to train MIL Models across hundreds of
concurrent instances. Modified Tensorflow code to speed up training by 100x per instance, improving performance.
Computer Vision
Docker
Python 3
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Computer Vision
Docker
Python 3
Apache Spark
Kubernetes
Deep Learning
TensorFlow
PyTorch
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Bioinformatics Computer and IT Research Assistant
Northeastern University – SunnyLand Chemistry Lab
2019-11-01-2020-04-01
• Built tool in Python to automate detection of mass spectrometry signatures, replacing an hours long manual process.
• Developing tool i...
• Built tool in Python to automate detection of mass spectrometry signatures, replacing an hours long manual process.
• Developing tool in Python alongside biochemistry researchers and students that generates instructions for eliminating
drug impurities caused by unwanted Host Cell Proteins.
Python 3
PyTorch
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Python 3
PyTorch
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Computer Science Intern
Envision Healthcare
2019-07-01-2019-08-01
Using Elasticsearch and Python, developed a tool that made it possible to group terabytes of documents by
symptoms, replacing a formerly ...
Using Elasticsearch and Python, developed a tool that made it possible to group terabytes of documents by
symptoms, replacing a formerly human intensive manual process. The documents contained inconsistent formatting
and descriptions as each physician provided the information using their own unique methodology.
• Improved methodology for identifying documents containing specific terms. Reduced the amount of time to process a
significant quantity of documents from eight hours to several minutes.
Elasticsearch
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Elasticsearch
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PROJECTS
Spiking Neural Network Implementation
2020
Implementing a Spiking Neural Network from scratch. SNNs more closely mimic nervous systems found in nature and
can theoretically consume...
Implementing a Spiking Neural Network from scratch. SNNs more closely mimic nervous systems found in nature and
can theoretically consume significantly less compute resources than their traditional ANN counterparts.
• Attempting to replicate the results of a research paper that uses an SNN to classify digits in the MNIST dataset.
NumPy
Python 3
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NumPy
Python 3
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ConnectX Reinforcement Learning Agent
2020
• Using a combination of Deep Q Reinforcement Learning and minimax with alpha beta pruning, developed an agent
with Pytorch that can defe...
• Using a combination of Deep Q Reinforcement Learning and minimax with alpha beta pruning, developed an agent
with Pytorch that can defeat the Kaggle Negamax agent as well as most human players in Connect 4.
• Currently working on reimplementing the agent with more powerful RL strategies, such as A3C and MCTS.
Python 3
Reinforcement Learning
Deep Learning
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Python 3
Reinforcement Learning
Deep Learning
PyTorch
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