Backend Developer
xiQ Inc (US startup)
(Internet and Information Technology, 50-250 employees)
Keywords
JavaScript (Programming Language)
Amazon Web Services
Cloud Computing
Data Processing
Continuous Integration
Django Web Framework
Python (Programming Language)
Selenium
Front End (Software Engineering)
ReactJS
Skills
Being a tech enthusiast, I have worked for 3 years as a Full Stack Developer (focused on Backend tech i.e.) Django, Flask along with Restful Api’s. On the frontend side, I have worked on React along with Javascript. Furthermore, in my previous company, I scrapped millions of US companies using Selenium, Beautiful Soup and Scrapy Framework along with CI/CD pipelines, AWS lambda for data processing and cloud watch for generating AWS SNS notifications to clients.
Project history
06/2021
-
06/2022
Throughout my tenure at Silicon Valley based B2B startup, I have utilized Python Django framework for creation and
Integration of multiple B2B features. My key responsibilities included:
Integration of multiple B2B features. My key responsibilities included:
- Development of multiple networking modules i.e. company/person profiles, pdf reporting, dynamic routing and stock stats using Python Django, React, Redux, Javascript, PostgreSQL and REST/RESTful APIs along with serializers.
- Scraped XML based SEC filing of 10 million US companies using Scrapy, Beautiful soap, Selenium, Requests, Httpx and utilized AWS lambda for data processing. Event-driven architecture was utilized for multiple selenium servers by using RabbitMQ and Asyncio. For bypassing captchas, proxy rotation was done by integration of third-party api.
- Deployed an automated Mailing campaign along with dynamic HTML templates using Aws Simple Email Service (SES) for 1 million users using docker containers along with Cron Jobs. Furthermore, for concurrency and parallelism, I have utilized async python and multithreading with Celery on AWS EC2 servers.
- Development of pdf reports and data visualization of US company stocks using Django, Python, Javascript, Docker and Git. Modules like PyPDF and reportLib were used to handle PDF automation. Pytest was utilized for automated testing of pdf reports.
- Integrated and stored data in PostgreSQL from Twitter, and Mantheos api's using the Tweepy module for personality generation with the help of Machine Learning
06/2020
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03/2021
Software Engineer
i2c Inc (US startup)
(Internet and Information Technology, 500-1000 employees)
During my full-time role at Service based fintech company, I have developed multiple banking modules using MVC
architecture for Fintech clients. My primary tasks included:
architecture for Fintech clients. My primary tasks included:
- Authentication and JWT authorization of users from multiple platforms by using Django, Docker, React & REST/RESTful APIs along with middlewares and decorators.
- Integrated multiple third-party api’s for Single Sign On (SSO) i.e. okta along with stripe to handle financial transactions and logged them within PostgreSQL.
- Developed ajax based customer chat and dynamic javascript modules. Pytest was used for testing the captcha on Login.
- Listing of supplementary credit cards and permissions was handled by utilizing React. Furthermore, pagination along with lazy loading was handled by Django serializers.
07/2019
-
07/2020
Data Science Researcher
WiMetrix Industrial Intelligence
(Internet and Information Technology, 10-50 employees)
During my tenure, I researched on multiple AI techniques for Optimization of NP hard problem. My major
responsibilities included:
responsibilities included:
- Main goal was to optimize NP hard problem i.e. Assembly Line Balancing using Genetic Algorithm by building a Skill Matrix of workers and operational SAM of machines.
- Developed Flask based React app to forecast worker efficiencies using predictive analysis. Crud functionalities were handled by Django REST/RESTful APIs and deployed using docker containers along with Git.
- Real-time data of textile workers was handled by Aws Simple Queue Service (SQS) along with storage in Aws S3 buckets. Moreover, Celery was used for computation of worker efficiencies in parallel to visualization and analysis of assembly line on Production.
- The solution was derived by research and development of multiple papers on assembly line balancing and the solution was designed by the triangular distribution of worker efficiencies in the 3D matrix.
Certifications
Local Availability
Only available in these countries:
Pakistan
