Ilya Kotlov

Ilya Kotlov

Software Engineering

Computer vision

Artificial Intelligence

Data Science

Signal Proccessing

Machine Learning

Deep Learning

About Me

AI and Computer Vision enthusiast. Working fast, smart and focused.

Computer Science with specialization on Data Analysis and Machine Learning Graduate

Independent and enthusiastic programmer and fresh BSc graduate with about 2 years of experience working with senior algorithm developers and academical researchers. .

My interests are a combination of software enginering and algoritm developement in any AI and Data related fields.

Particularly, I like to design and implement the data collection (considering code efficiency, embedded RT programming) as much as to process the data, find the best algorithm and improve it to achieve project goals, using classic methods of Computer Vision with Machine Learning and Deep learning methods.

Also I like to implement parallel computations using multithreading, distributed computing and GPU programming in CUDA.

I hate wasting time. I need to have long-term goals to maintain a global vision of the projects. But I divide the tasks into very simple parts to finally obtain a complex result.

My hobbies include gym, dancing (particularly Bachata) and playing chess.

Favourite quotes

Knowledge

Computer vision

Mono/stereo camera calibration. Image features detection and matching.

Deep Learning

Deep Neural Networks implementation, exploration and improvement.

Some Facts

Working Hours

1170

Hours Danced

890

Resume

2 Years of Experience

Experience

Technion R&D Ltd.
November, 2021 - March, 2023

Research Assistant

Visual Sensing Theory & Application Lab, Computer Science Faculty, Technion R&D Ltd, Israel

• Implemented from scratch a multi-sensory vision system of a vehicle for detection & tracking obstacles according to research plan, using Machine Learning & Deep Learning.

• Resulted in a report of the study : report

• Implemented a navigation algorithm for a DJI Tello drone and a data recording module using the drone camera and Motive OptiTrack tracking system using a Deep Neural Network Visual Odometry Model and OptiTrack tracking system. github repo

• Results are expected to appear in a future publication and ML conference.

• Performed literature review, data recordings, experiments and outcome analysis.

• Worked with PhD, MSc staff and lab engineers to achieve research goals.

Medtronic
March, 2021 - July, 2022

Industial Project Developer

Given Imaging, Medtronic, Israel

• Implemented an advanced method (CVPR 2018) for training a deep neural network with "attention maps", aiming at achieving classification improvement as well as localization and explainability on Medtronic Endoscopy data.

• Reproduced algorithm paper results on original data (VOC) & adapted the method to Medtronic Endoscopy data.

• Resulted in 8% improvement in classification on ROC measurement and in 350% localization

• Worked as part of a team of senior algorithm / machine learning engineers.

Project Page

Education

Technion
2017 - 2022

Bachelor Degree in Computer Science with specialization on Data Analysis and Machine Learning

Technion - Israel Institute of Technology, Israel

Deep Learning. Machine Learning. Computer vision.

Machine Learning, Computer Vision and Deep Learning tools

Pillow, Scikit-Learn, Numpy, Pandas, PyTorch, TensorBoard

OpenCV, Open3D

OOP, Parallel & Distributed programming, CUDA, Numba

Windows, Linux, Docker, Git / Github

Coding Skills

Python

C/C++

Matlab

HTML + JS + CSS + React + Flusk

Java

Projects

My Best Works

Contact

Get in Touch

Get in Touch

If you would like to find out more about me, my research or my work, please drop me an email.

Haifa, ISRAEL

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