Irakli is available for hire
Hire IrakliIrakli Gugushvili
Verified Expert in Engineering
Python Developer
Location
Tbilisi, Georgia
Toptal Member Since
May 23, 2018
Irakli is a Python developer with seven years of experience in multiple industries. He started as a machine learning developer, expanded into a range of back-end technologies, and became an expert in web scraping. Irakli is also proficient in cloud technologies and currently freelancing as a senior Python cloud engineer and AWS and Azure architect. His industry experience is backed by a bachelor's degree in math and computer science.
Portfolio
HUB Security
Python, Django, Amazon Web Services (AWS), Google Cloud Platform (GCP)...
Staunch Technologies (via Toptal)
Amazon Web Services (AWS), Python, Azure
Olmait
Python, Flask, Azure
Experience
Availability
Part-time
Preferred Environment
PyCharm, Windows, Visual Studio Code (VS Code), Python, Git, Ubuntu
The most amazing...
...thing I've developed is my stock price prediction model using LSTM.
Work Experience
Senior Python Back-end Engineer
2021 - PRESENT
HUB Security
- Created the back-end infrastructure for the penetration testing platform using Django.
- Developed functionalities to create, run, and monitor bots with predefined attack scripts.
- Extended platform functionality by adding the ability for users to create, test, run, and monitor attacks manually.
- Implemented a bot geolocation functionality into the system.
- Integrated Oracle Cloud as the new cloud provider.
Technologies: Python, Django, Amazon Web Services (AWS), Google Cloud Platform (GCP), Oracle Cloud
Senior Python Cloud Engineer | AWS and Azure Architect
2019 - 2023
Staunch Technologies (via Toptal)
- Developed a system where a root user can monitor subusers' AWS activity.
- Created a website for attaching Amazon Virtual Private Cloud (VPC) to an Amazon EC2 server without public access.
- Built and developed a system for monitoring Azure users' activities.
Technologies: Amazon Web Services (AWS), Python, Azure
Senior Python Engineer
2021 - 2021
Olmait
- Created ETL for the recommendation engine using Azure Functions.
- Implemented back-end functionality for the recommendation engine using Flask.
- Integrated FAISS to make the vector comparison for better recommendations.
Technologies: Python, Flask, Azure
Web Scraping Expert
2019 - 2021
Explorium
- Developed many projects for scraping publicly available data using Scrapy, Selenium, Requests, BeautifulSoup, and other scraping technologies.
- Created a fully functional pipeline for URL data collection, scraping, parsing, and storage.
- Built a system that would run periodically and check the status of multiple website scrapers.
Technologies: Web Scraping, Python
Python Developer
2019 - 2020
Treehouse Technology Group (via Toptal)
- Developed an email receiver and parser system deployed on AWS. It receives an email, parses its body, and calls different APIs depending on its content.
- Created a data analyzer API that was responsible for analysis.
- Developed a data prediction API that was responsible for predictions.
Technologies: Amazon Web Services (AWS), Flask, Python
Data Scraping Engineer
2019 - 2019
Yipit (via Toptal)
- Developed many projects for scraping publicly available data.
- Rewrote old scrapers using a new approach to increase coverage.
- Created tester functionality to compare different scraping script coverage.
Technologies: Web Scraping, Python
Machine Learning Developer
2017 - 2019
Neiron
- Created a model for stock market price predictions.
- Built a backtesting environment for predictions in a lean engine.
- Developed a paper trading (simulation) system using an Interactive Brokers server and Python API.
- Constructed a sentiment analysis tool to increase prediction accuracy.
Technologies: Machine Learning, Python
Programmer
2016 - 2017
DoSo
- Implemented different logic for insurance clients.
- Developed and deployed a newer version of a reinsurance model to help clients.
- Conducted tests for every model of insurance logic.
- Developed a helper web application using ASP.NET MVC.
Technologies: ASP.NET MVC, C#
Programmer
2015 - 2016
Bank of Georgia
- Implemented different types of logic in SQL for internal use.
- Developed an application in Java for bank employees.
- Tested the bank's functionalities on the application and database side.
Technologies: SQL
Experience
Penetration Testing Platform
We created a penetration testing platform where the user could run and monitor predefined attacks. The user could create a custom attack manually and test, run, and monitor it. We used Django for the back end, PostgreSQL for the database, AWS for the deployment and separate asynchronous tools, GCP for bot creation and running, and Elasticsearch for logs.
Azure Monitoring System
We developed this system to monitor Azure users' activities using built-in and custom policy combinations to check compliance. In the case of non-compliance, the system would alert the owner to solve it. We could also do the enforcement on our end if needed. We used Azure Logic Apps to start, Azure Functions to execute the logic, Azure Queue Storage to communicate between functions, and Azure Table to save the data.
AWS Monitoring System
This system allowed a root user to monitor the activities of sub-users. It ran at a time interval, collected sub-users activities, and enforced compliance if needed. We used several lambda functions, SQS for communication, DynamoDB for saving the data, Elasticsearch for logs, Jenkins for CI/CD, and Terraform for infrastructure as code.
Recommendation Engine
The project was about creating a recommendation engine for the video streaming platform. I created the entire infrastructure, starting from ETL using Azure Functions, the back-end API using Flask, and finally, vector comparison and prediction using Faiss.
Connector (via Toptal)
We created this website to attach a VPC with an NLB and TG setup to the EC2 instance with no public access. Using the server this way was much safer. I focused mainly on the back end and implemented the entire pipeline of attaching and detaching in AWS Step Functions. We used React with an API Gateway on the front end, Jenkins for CI/CD, and Terraform for infrastructure as code.
Public Data Scraper
This project consisted of scraping all kinds of publicly available data using Scrapy. I created the pipeline and all the different spiders for different data sources. The main challenge for static websites was parsing different pages; for dynamic websites, it was simulating a JavaScript request that loaded the data. We used Scrapinghub (now Zyte) for deployment and AWS S3 with DynamoDB to save the data.
Data Analysis and Prediction System (via Toptal)
In this project, I created a data analyzer and prediction system for different kinds of data using various tools. Then I created an API using Flask-RESTful and wrapping the system mentioned above into it.
RedString Bookmarking System (via Toptal)
This is a bookmarking system that saves URLs and their locations. We accomplished this by using Google's geolocation and weather data that was scraped and analyzed using the IBM text analyzer. We used Flask deployed on AWS Elastic Beanstalk as the primary technology.
Email Receiver/Parser System (via Toptal)
This system can receive an email, parse it, and call different APIs depending on its content. We deployed it on AWS using SES for notifications, S3 for saving the emails, RDS for saving logs, and Lambda for parsing and calling the API.
Deep Web Crawler (via Toptal)
This project focused on scraping the deep web to get medicinal information using Python Scrapy. I created and fixed crawlers along with the pipeline. The most challenging thing to handle in this project was the scale.
Building Tuner (via Toptal)
This project made it easier to manage university buildings because a large set of equipment constantly updated the building data. I created a database to store all the data and built data analysis mechanisms on top of that to process all the information. I also wrapped all that into a Python Dash web application and deployed it on Heroku.
Arabic Dialect Recognizer
This project analyzed and classified Arabic speech. Working on it was challenging, mainly because I don't speak Arabic. I had to do some extra work to correctly evaluate the different models and understand which was better.
LinkedIn Scraper
I have created many different LinkedIn scrapers during my career. Some gather personal and company data using advanced search features with the best result filtering. I have also implemented account rotation to avoid bans and automated the process by deploying crawlers on AWS.
Sentiment Analysis Tool
I created this sentiment analysis tool to increase the accuracy of stock market price predictions. It checks for tweets, analyzes them using Word2Vec and a CNN architecture model, and outputs the sentiment. This project was very challenging!
Stock Market Price Predictor
I created a model for stock market price predictions. Then I added backtesting using a lean engine. Finally, I set up an Interactive Brokers (IB) server and created an environment for paper trading (simulation) using the IB Python API.
Badminton Scraper and API
I created a scraper for badminton live scores, matches, draws, and players, and I built an API on top of that. The whole project was scheduled and deployed on Amazon EC2. This was one of the biggest scraping projects I've worked on.
Reinsurance Company Project
This was a huge project for reinsurance companies. I added full reinsurance functionalities in C#. The most difficult challenge was understanding the complex insurance logic and creating a reusable code.
Torrent Client
https://github.com/BartholomewKuma27/TorrentClientIn this project, I implemented a BitTorrent protocol that allowed users to create their own torrent clients. This was one of my first projects where I used Python and applied my knowledge of networking.
HTTP Server
https://github.com/BartholomewKuma27/HttpServerThis was an HTTP server implementation written in C. Working on this project was challenging and interesting because I had to implement almost everything from scratch, which expanded my technology experience.
Skills
Languages
Python, SQL
Frameworks
Flask, Selenium, Scrapy, Django
Libraries/APIs
Requests, Beautiful Soup, Pandas, Scikit-learn, Keras
Tools
Git, PyCharm, Jenkins, Terraform, Boto 3
Platforms
Amazon Web Services (AWS), Azure, Windows, Linux, Google Cloud Platform (GCP), Visual Studio Code (VS Code), Ubuntu
Storage
PostgreSQL, Amazon DynamoDB, Azure Table Storage, Elasticsearch, MongoDB, Oracle Cloud
Other
Web Scraping, Machine Learning
Education
2013 - 2017
Bachelor's Degree in Math and Computer Science
Free University of Tbilisi - Tbilisi, Georgia
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