Mihai – Python, Django, Linux

This is an Instagram email scraper that quickly helps clients collect targeted leads from IG on autopilot.

The main features Mihai worked on are:

• a very fast queue for processing tasks;
• exporting data;
• handling payments.

• Interacted with Google Drive API to upload data to Google Sheets;
• worked on a microservice for high-scale web scraping;
• made the Frontend interactive by using Vue.js in combination with Django;
• implemented a payment processing system using Stripe with automatic account activation.

This is a web app that helps businesses connect to the best-targeted influencers from Instagram, with a database of 200+ million influencers.

The features Mihai worked on:

• database management (importing the data from .csv files, setting up a backup process, improving query speeds);
• REST API Implementation;
• external API Integration: Stripe and Google Sheets;
• fetching data from our REST API.

• Integrated subscription using Stripe;
• integrated data export using Google Sheets API;
• improved the speed of the API by removing some data from the SQL queries that weren't a must;
• ran a task queue using Redis and Celery;
• tested front-end using Selenium;
• set up development and production environments using Docker and Docker-compose.

This was a search engine ranking position checker for Youtubers. After adding a YouTube channel link, it would load all the videos uploaded on that channel and suggest keywords to be checked for their position on Google and YouTube.

• Created backend architecture;
• integrated backend and frontend using an API;
• set up the development and production environments using Docker and Docker-compose;
• worked on the subscription system with Webhooks to activate the subscription automatically using Paddle for taking payments;
• wrote e2e tests using Selenium;
• worked with the YouTube API and reverse engineering Google search results to emulate them with HTTP web requests;
• integrated background tasks with Celery and Redis for long-running tasks.

Multiple Windows software to help people trying to promote their accounts or products on Instagram.

• Automated payment processing and invoicing through APIs and webhooks;
• designed UI using WinForms and WPF for multiple products;
• used Selenium for web automation and changed some parameters to emulate a real user as much as possible;
• worked on reverse engineering APIs calls and mobile apps to simulate a mobile app without all the overhead of running android/iOS emulators;
• for deploying the Django project, configured and optimized Apache and Nginx to run the Django app alongside a WordPress website on the same server and obtain the best performance.