Muhammad Zaeem Zahid

The Keyword Grouper app is an internal app developed for an SEO company, Ardent Growth. It clusters many keywords and queries based on similarity in their search engine result pages (SERP).

I developed and implemented a complex algorithm for clustering and several complicated calculations from scratch. Clustering jobs were time-consuming and ran on Python Celery task queue with regular updates sent to the database and the front end, impacting the job progress. The keyword's SERP fetching tasks used multi-threads, enhancing the app's performance. I also built a slick and easy-to-use front end on top of it and used NLP to group each cluster's main topics in hubs.

Resource scheduling as a service is a PSI Services LLC internal service that allows scheduling tests and evaluations for different organizations. The API runs on a serverless architecture using AWS Lambda. It also comprises an admin portal that enables all types of admin jobs, including reserving, holding, adding, and removing resources for a specific time frame.

The stack used in the project includes Go, Go-chi, PostgreSQL, React, JavaScript, Redux, Docker, and AWS Lambda, CloudFront, S3, and SQS.

Mecku is a big data engineering app to help engineers do complex tasks quickly. Challenging jobs like building ETLs and moving data across different platforms, clouds, and databases are made accessible as a pie.

This project follows a microservices architecture, with each microservice performing a designated task. It comprises a connector package to connect to a data source or dump, an API package that receives and entertains requests, and a core package that makes as many connections as required and carries out the actual job. It also has a beautiful UI allowing users to drag and drop data sources, dumps, and transformations on a canvas, then connect them and run jobs.

Lucid is an outline extractions app that scrapes a given URL and returns the headings of that page in a tree structure—h2s are intended under h1s, h3s under h2, and so on. SEO companies use this tool to suggest content titles and topics for better ranking.

It comprises a user-friendly front end for easy access using Node.js as a Socket server for live progress updates. It also uses Go, Geziyor, Elasticsearch, AWS S3, React, JavaScript, Redux, HTML, CSS, Docker, Python, and Selenium.