Hello, my name is
Austin G. Lebane
And I'm a
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About me

I'm Austin and I'm a

I am a BEng(Hons) in Computer Engineering student from Botho University, Botswana from 2018-2023. I started falling in Programming from a tender age as it gives me the chance and ability to come up with ways to solve a problem in a unique way and with different methods all eligible at the same time, talk about uniqueness! I have completed and have been awarded with the following certificaions: Google IT Automation with Python Professional Certificate, IBM AI Engineering Specialization, Meta Back End and Front End Developer Professional Certificates and Meta Full Stack Software Engineer Certificate and Badge

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My services

Web Development

I can build webpages and web applications using HTML, CSS(Tailwind, Bootstrap) and JavaScript(React, Angular and NodeJS). I also have knowledge and skills using PHP as both front-end and back-end. I can also build webpages using Python programming language using Flask and Django Frameworks. For Databases, I have knowledgw of SQL using MySql and PostgreSQL software

Automation

I have skills on how to automate tasks by writing Python scripts. Knowledge on the use Git and GitHub for version control. I can also manage IT resources at scale, both for physical machines and virtual machines in the cloud. Have knowledge of regular expressions -- a very powerful tool for processing text files

Application/Software Programming

Have proficient skills and knowledge on C, C++, Python and Java Programming language of which I have used all of them to build softwares and applications. I have used C/C++ and Java to build management systems applications. I used Python to build Artificial Intelligence models of which two have been deployed and a single Window based Application

My skills

My creative skills & experiences.

These are the programming languages and technologies that I have gotten acquainted to.

  • Git/GitHub
  • Flask
  • Numpy
  • SciKit Learn
  • Keras
  • Django
  • ReactJs
  • PyTorch
  • TensorFlow
  • IBM Watson Cloud Studio (Code Engine/ Computer Vision Studio)
  • Bash

HTML, CSS 90%
JAVA 80%
JavaScript(ReactJs 75%
Python(Django & Flask) 89%
MySQL 70%

My Projects

C/C++ Covid-19 Vaccination Management System

It is a vaccination management System created by C and C++ programming languages that add patients who have received their covid-19 vaccination. It saves data on a text file, saving the patient details, their work, the type of vaccine they got,dates and place of vaccination. The system used a console window that can be displayed well of a windows, linux or mac. The system allows for the administrator to search records as well as sort records according to alphabetical order because it has the binary search algorith as well as the bubble sorting algorithm

JAVA Student Management System

This is also a management system that I have created using JAVA. The system uses MySQL as a database using PhpMyAdmin for administration of MySQL. XAMPP software was used to access them including Apache for local server services. The system has a login page where users can login as Admin, Student or as Staff. Admin has many functionalities and control such as add, edit, delete, update of records

Python Deep Learning and NLP AI Chatbot

HelpR, My Deep Learning and Natural Language Processing AI Chatbot. It is a feed forward neural net with two hidden layers. I used PyTorch framework and installed NLTK, punkt and Numpy libraries for support of my arrays and sentences. The NLP techniques that I used are stemming, tokenization and lemmatization.

Python Stenography Software app

This software can be used to hide any sensitive information within an image file such as a holiday picture. The hidden layers have several layers of encryption and will not be practical for anyone to try and decrypt as also the information will be stored behind any plain photo which will not give anyone an idea that such data is hidden within it. The GUI was designed by Tkinter.

Python Deep Learning Classifier

This is an AI Computer Vision model which can detect and classify if an uploaded image of a road at a t-junction or cross juction has a stop sign or there is no stop sign. It uses Convulutional Neural Network(CNN) for image classification using transfer learning. Used a dataset to train the model. The CNN was used as a feature generator, only training the output layer and experimenting with different hyperparameters. The model has been deployed to a web app using Code Engine and can be inetracted with online

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Get in Touch

Contact me to work together, proposals and offers

Name
Goitsemang Austin Lebane
Address
Kgale View, Gaborone
Email
lebaneaustin2@gmail.com
Number
(+267) 76049548/72888748
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