Leeor Langer

Fit Machine Learning to Real World Challenges

יוקנעם עילית, Israel

Freelancer

1 Project

Contact

ABOUT

CTO at Wearable Devices
Data science architect with expertise in multiple domains: bio-sensor analysis, computer vision and natural language processing. My passion is designing machine learning techniques for interesting real world problems. See my projects, patents and papers below. My number is (972)-523-220459

Check out my blog at langer.tech
Computer Hardware

LANGUAGES

Hebrew

Native or bilingual proficiency

English

Native or bilingual proficiency

SKILL DETAILS

Training

LinkedIn Training

Machine Learning Training

Engineering

Computer Engineering

Senior Executives

CTO

Technology

225 ILS / hr

Real-Time / Embedded / DSP

MATLAB

Unity3D

Bluetooth

CUDA

Virtual Reality, VR

Expert in user experience, see my LinkedIn profile for projects, papers and patents in this field.

AI, Artificial Intelligence

Chatbot

Machine Learning

Expert in machine learning, see my LinkedIn profile for projects, papers and patents in this field.

Analytics of Things, AoT

Image Processing

Expert in computer vision and image processing, see my LinkedIn profile for projects, papers and patents in this field.

Computer Vision

Neural Networks

Deep Learning

Expert in deep learning, see my LinkedIn profile for projects, papers and patents in this field.

Natural Language Processing (NLP)

Software & Programming

C, C++

BI, Data Science, Big Data

Python

Algorithm Development

Full Stack Developers

Data Scraping

EMPLOYMENT HISTORY

CTO

Wearable Devices

EDUCATION

BSc - Electrical Engineering

Technion

MSc - Applied Math

Tel Aviv University

PATENTS & INVENTIONS

July 2016

Method and apparatus for a gesture controlled interface for wearable devices

9,720,515

A gesture-controlled interface apparatus includes one or a plurality of bio-potential sensors and a processor. The one or a plurality of bio-potential sensors are wearable on a body of a user, for detecting one or a plurality of bio-electrical signals from the body of the user, wherein the one or a plurality of bio-potential sensors include at least one surface nerve conduction (SNC) sensor for detecting at least one surface nerve conduction signal. The processor is configured to compare the detected at least one surface nerve conduction signal with data of a plurality of reference signals corresponding to a plurality of known gestures, each of the reference signals distinctly associated with one of the known gestures, to identify a known gesture from the plurality of known gestures that corresponds to said at least one surface nerve conduction signal, and to communicate the identified known gesture to a computerized device.