Using Deep Learning to Recognize Traffic Lights
How I learned deep learning in 10 weeks and won $5,000
32
David Brailovsky
Mentor
(10 reviews)
US$30.00
For every 15 mins
25
Sessions/Jobs
ABOUT ME
Data Science, Machine Learning, Computer Vision, General Software Engineering
Data Science, Machine Learning, Computer Vision, General Software Engineering
Expereinced in data science, machine learning, computer vision as well as general software engineering.
Very good at analyzing complex problems and finding simple solutions.
Trained machine learning algorithms for analyzing medical images.
Built mobile apps (iphone/android), scaled backend infrastructures (java, aws), and played a lot with data.
Have a background of in-depth understanding of computer networks, operating systems and information security.
Hebrew, Russian, English
Jerusalem (+03:00)
Joined March 2017
EXPERTISE
2 years experience
Won 1st place in a challenge to recognize traffic lights using deep learning
Won 1st place in a challenge to recognize traffic lights using deep learning
10 years experience
Python has been my go-to language for the past 10 years. Doing side projects, production code, research and machine learning.
Python has been my go-to language for the past 10 years. Doing side projects, production code, research and machine learning.
7 years experience
As one of the first developer's at BillGuard, we used Java as our primary language for server-side development. Our stack was based on to...
As one of the first developer's at BillGuard, we used Java as our primary language for server-side development. Our stack was based on tomcat, spring & hibernate. This was a production environment with a lot of live users.
8 years experience
Experienced with heavy load MySQL databases, scaling, deploying and running on the cloud.
Experienced with heavy load MySQL databases, scaling, deploying and running on the cloud.
4 years experience
I was part of the team coding BillGuard's Android mobile client from the ground up. This is a published app used by many users.
I was part of the team coding BillGuard's Android mobile client from the ground up. This is a published app used by many users.
4 years experience
I was part of the team coding BillGuard's iOS mobile client from the ground up. This is a published app used by many users.
I was part of the team coding BillGuard's iOS mobile client from the ground up. This is a published app used by many users.
7 years experience
Have used git extensively for the past 7 years. Very comfortable with it and good at explaining to others.
Have used git extensively for the past 7 years. Very comfortable with it and good at explaining to others.
REVIEWS FROM CLIENTS
(10 reviews)
Dowey Baothman
March 2019
he was very helpful and understanding.
Michael
February 2019
David was incredibly thorough, thoughtful and patient in answering my questions. Superb advice and impecable service! Highly recommend.
Mary Zimmer
November 2018
I'm a coding novice, and David is able to explain everything to me in a way that is clear and understandable. He even presents alternative ways to code the same problem so that I understand why both would work. He is an excellent mentor/teacher!
Ray
October 2018
Another great session with David. He guided me effectively to understand and implement image processing algorithms.
Bohdan Turani
October 2018
Very informative and helpful mentor.
Friendly and communicative.
Ray
October 2018
David has a deep understanding of Python syntax and is able to explain to students clearly.
Mike Weiksner
April 2017
Another great session. Some practical machine learning tips & trips. Good advice about where to concentrate my efforts.
Jake Bialer
April 2017
Worked through a basic neural network with David. He's great at explaining complex concepts.
Mike Weiksner
April 2017
David help me get my ML project kicked off in the right direction! Helped me break it down, and focus on the very first steps that I need to take.
I look forward to working more with David.
SOCIAL PRESENCE
deep-learning-traffic-lights
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
Jupyter Notebook
390
139
ipythonnb-s3
IPython notebook manager which seamlessly saves and loads to S3
Python
23
11
