My solution of a take home assignment for landing page development.

Implemented using TailwindCSS, Vanilla JavaScript, HTML, created CI/CD pipeline.
All elements are responsive including the carousel and tabs/accordion. Navbar mobile implementation was not required.

Requirements Specification:

“Convert the PSD to HTML that is provided below. The carousel should be responsive. On mobile, the tabs should be converted to an accordion. History, team - these are internal links in the page to their respective sections.”
Wireframe in the repo.

Full-stack homepage for a small business:

• prototyped using Figma, Illustrator, Photoshop;
• created design system considering typography, alignment, gird, color theory, composition, geometry, contrast;
• built front-end using vanilla JS and back-end using ExpressJS;
• packaged application in Docker and deployed using GitLab CI.

Full-stack web app to rent a car from peers:

• built React front-end using MUI design system;
• built back-end and REST API using ExpressJS;
• stored data in PostgreSQL database and images in AWS S3 storage;
• implemented end-to-end tests using Cypress;
• implemented API unit-tests using Jest;
• developed geo-coding and geo-search using MapTiler and OpenStreetMap;
• packaged application and database in Docker;
• developed CI pipeline using GitHub Actions for AWS EC2 deployments.

ETL application with PyQt GUI that extracts and transforms PDF product data into specific CSV structure:

• developed PDF data ingestion using Python and Tabula;
• transformed data using Pandas;
• developed desktop GUI using PyQT framework;
• eliminated GUI blocking with QT multithreading;
• increased performance of data ingestion using Python multiprocessing.

Automatic cloud resources deployment and configuration using Terraform:

• developed Terraform configuration for Oracle Cloud to provision resources for web apps including: virtual machine instances, virtual cloud networks, internet gateway, object-storage, users;
• developed GitLab yml configuration for group CI/CD runner and cache
• developed multi-project pipeline to deploy all projects queue at once;
• configured NGINX server and SSL certificates;
• developed scripts for scheduled database backup and recovery;
• developed pipeline script for automatic CloudFlare DNS update when VM IP addresses change.

Blanket application strategy—a specialised background task processing self-hosted web-app that scrapes job-boards and presents instant results in a tabular form:

• developed React frontend using Chakra UI design system;
• developed Flask REST API and Python web crawler;
• customised frontend Tabulator table with CRUD operations that manage listings;
• automated headless browser using Playwright to ingest listing attributes;
• developed SQLAlchemy ORM models to store company and listing attributes;
• developed on-demand Celery asynchronous background tasks;
• implemented API pooling to update background task status;
• created GitLab CI pipeline to automatically deploy updates to DockerHub.

My solution of a take home assignment for refactoring legacy code.

1. Created unit tests :

• Partitioned input domain into equivalence classes
• Created eight unit tests achieving 100% edge (i.e. branch) coverage criteria.

2. Refactored code :

• For each of the blocks, if the function returns a trivial value it does so immediately.
• If input types determine return values, grouped them into common control flow branches.
• Factored out digest computation into a function.
• Reduced the scope of the helper variable candidate.

NextJS app that describes my projects:

• designed Figma prototype;
• configured Strapi CMS, Postgres database and S3 object storage;
• developed frontend according to prototype using TypeScript, TailwindCSS;
• developed contact form back-end;

Conducted competitor research to analyse and understand industry trends in homepage and online store design.
Developed the primary iteration of Figma prototype of the company's homepage and storefront for review and further development

Developed infrastructure configuration and data processing code using Python, SQL, Bash and the following tools:

• Apache Airflow (task scheduling)
• ClickHouse (OLAP database)
• dbt (data transformation inside data warehouse)
• Metabase (BI and dashboarding tool)
• Apache Superset (advanced BI and dashboarding tool)

Developed:

1. Http links extraction from html page and ingestion from downloaded parquet files into OLAP DBMS.
2. Data ingestion from csv files containing open data set about companies of the world into OLAP DBMS.
3. Data ingestion from csv files containing two months of e-commerce product events into OLAP DBMS.