Sept 22. – Jan. 23 : Mobile Robot Developer (Internship) –

Moscow State University of Food Production (MGUPP).

Accomplished tasks:

• Cartoonify an image with machine learning;
• Simulate a robotic arm to move a ball placed on a table;
• Simulate the detection of obstacles by a mobile robot;
• Simulate the autonomous navigation of a mobile robot capable of delivering mail;
• Simulate the navigation of a mobile robot to move on a small, and a large square;
• Write a Deep Learning program for the classification of clothing images;
• Teach a mobile robotics course: Kalman filter and Bayesian filtering, orthogonal linear estimators and state observers, least squares method and parameters.

Sept 21. – Jan. 22 : Mobile Robot Developer (Internship) –

Moscow State University of Food Production (MGUPP).

Accomplished tasks:

• Do the mapping and localization with the sensors of the mobile robot (PIAM-BOT);
• Improve the facial recognition of the autonomous mobile robot (PIAM-BOT);
• Use OpenCV to detect obstacles;
• Perform KNN, CNN, and SVM recognition of handwritten digits;
• Perform the restoration and backup of images provided by the robot;
• Process images: zoom, cut, shift, mirror, affine map and rotation;
• Connect On A Remote Server With The SSH Protocol.
• Realize a Bash script for the navigation of a mobile robot;
• Write a python program that allows our robot to make a circle;
• Program the autonomous navigation of a mobile robot on a square ground;
• Perform remotely operated navigation of a mobile robot;
• Teach mobile robotics course: Modeling, Localization, Mapping, and Navigation.

Sept. 20 – Jan. 21 : Mobile Robot Developer (Internship) –

Moscow Region State University (MGOU).

Accomplished tasks:

• Realize an autonomous mobile robot with facial recognition controlled by a Raspberry Pi 4B card;
• Develop a Python software stack based on ROS: detection, locomotion, navigation;
• Create test software and control algorithms using Python and the NumPy library;
• Implement Python scripts to generate detailed configuration reports on distributed scale-out scale-out server nodes for converged server systems;
• Simulate LED, blink, button, switch, lighting control panel, and massive optimization with Raspberry Pi;
• Create Landing Page, LED Remote, Feedback, Phidget Weather, and AutoStart with Raspberry Pi;
• Simulate an FTP server, Torrents, and a home with Raspberry Pi.

June 18 – Aug. 20  : Artificial Intelligent Developer–

African New Dream (AND).

Accomplished tasks:

• Use Seaborn libraries for data visualization;
• Manipulate Probabilities, Statistics, Bayes’ Theorem;
• Program Neural Networks and create Decision Trees;
• Use the main clustering algorithms (k-means and DBSCAN);
• Use NumPy, Sklearn, Matplotlib, Pandas and SciPy libraries;
• Write Unsupervised Learning and Supervised Learning algorithms;
• Linear Regression, Multiple Linear Regression & Polynomial Regression;
• Use Seaborn libraries for data visualization;
• Manipulate Probabilities, Statistics, Bayes’ Theorem;
• Program Neural Networks and create Decision Trees;
• Use the main clustering algorithms (k-means and DBSCAN);
• Use NumPy, Sklearn, Matplotlib, Pandas and SciPy libraries;
• Write Unsupervised Learning and Supervised Learning algorithms;
• Linear Regression, Multiple Linear Regression & Polynomial Regression.

June 18 – August 22 : IT Consultant –

African New Dream (AND). 

Accomplished tasks:

• Supervision of IUSTE academic interns;
• Supervision of Start-Up promoters and Infopreneurs;
• Supervision of African New Dream professional trainees;
• Training of students from the University of Yaoundé 2 (Soa);
• Supervision of academic interns from the IT school in France;
• Supervision of professional trainees from the Polytechnic School of Yaoundé in Cameroon;
• Training of students from the Inter-State University of Sangmelima in Cameroon.

Sept. 22 – Jan. 23 : Mobile Robotics Teacher (Internship) –

Moscow State University of Food Production (MGUPP).

Courses taught:

• Kalman filter and Bayesian filtering, Master 1 students in Robotics, under the supervision of Prof. Margarita Mikhailovna BLAGOVESHCHENSKAYA. In charge of half of the course for 15 students
• Orthogonal linear estimators and state observers, least squares method and parameters, Master 1 students in Robotics, under the supervision of Prof. Margarita Mikhailovna BLAGOVESHCHENSKAYA. In charge of half of the course for 15 students.

Sept. 21 – Jan. 22 : Mobile Robotics Teacher (Internship) –

Moscow State University of Food Production (MGUPP).

Courses taught:

• Mapping and Navigation of mobile robots, Bachelor 2 students in Mechatronics, under the supervision of Prof. Margarita Mikhailovna BLAGOVESHCHENSKAYA. In charge of half of the course for 25 students

• Modeling and Localization of mobile robots, Bachelor 2 students in Mechatronics, under the supervision of Prof. Margarita Mikhailovna BLAGOVESHCHENSKAYA. In charge of half of the course for 25 students.

Sept. 20 – Jan. 21 : Mobile Robotics Teacher (Internship) –

Moscow Region State University (MGOU).

Courses taught:

• Robotics teaching methodology, Bachelor 1 & 2 FTP, under the supervision of Dr Marina Alexandrovna MUSATOVA. In charge of half of the course for 20 students.

• 3D modeling and prototyping, Bachelor 1 & 2 FTP, under the supervision of Dr Elena LEONIDOVNA. In charge of half of the course for 20 students.

• Educational robotics, Bachelor 1 & 2 FTP, under the supervision of Dr Nafisa HASANSHINA. In charge of half of the course for 20 students.

June 18 – Aug. 20 : Programming Teacher – Professional Education

African New Dream (AND).

Courses taught:

• Python programming. In charge of the course for 30 students, co-author of the Lecture Notes.
• Programming (Html5/Css3). Creation of the course, in charge of the course, 50 students.
• Marketing Digital et Community Manager. In charge of the course for 50 students, co-author of the Lecture Notes.
• Mobile application development. In charge of the course for 30 students, co-author of the Lecture Notes.
• Creating websites with WordPress and webmaster. In charge of the course for 50 students, co-author of the Lecture Notes.

Mar. – Nov. 17 : Computer Teacher –

University Institute of Science, Technology and Ethics (IUSTE).

Courses taught:

• General computing, HND 1^st & 2^nd year. In charge of the course for 60 students, co-author of the Lecture Notes.
• Database, HND 1^st & 2^nd. Creation of the course, in charge of the course, 60 students.
• Object-Oriented Programming, HND 1^st year. In charge of the course for 20 students, co-author of the Lecture Notes.
• Java and C++ programming, HND 1^st year. In charge of the course for 20 students, co-author of the Lecture Notes.
• System and network programming, HND 1^st year. Supervision of exercises and lab works for 20 students.

Sept. 15 – Jan. 17 : Computer Teacher – Professional Education

Assnet.

Courses taught:

• Introduction to computer science, Assnet, Professional Education. In charge of the course for 15 students, co-author of the Lecture Notes.

• Word, Excel, PowerPoint, Publisher and Access, Assnet, Professional Education. Creation of the course, in charge of the course, 50 students.

• Computer maintenance for beginners, Assnet, Professional Education. In charge of the course for 20 students, co-author of the Lecture Notes.

Sept. 12 – June 15 : Mathematics and Physics Tutor –

At Home.

Courses taught:

• Mathematics, At Home, Tutor. In charge of the course for more than 100 students, co-author of the Lecture Notes.

• Physical, At Home, Tutor. Creation of the course, in charge of the course for more than 100 students.