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Muhammad Ghulam Fakhar ud din

@muhammadghulamfakhar

Full Stack Engineer with 5+ years of experience building scalable web apps using Python & JS. Experienced in monolithic, micro-services architecture.

Pakistan

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What I'm looking for

Collaborative team, engaging culture, growth opportunity, transparency.

With 6 years of experience designing scalable architectures and high-performance web applications, I bring deep technical knowledge in Python/Django and Node.js with a practical understanding of cloud infrastructure (AWS) and database management. Be it a monolithic or micro-services architecture, I have extensive experience in both domains to develop optimised APIs and systems.

I also have a proven track record of delivering SaaS solutions, specifically within the HR Management and ATS Integration domain. I am well-versed in optimising database performance (PostgreSQL/Redis), identifying and resolving infrastructural level bugs before they become problematic.

Additionally, I bring niche expertise in advanced web scraping including automation. I have successfully deployed large-scale scraping clusters using Celery, Scrapy, Selenium and Playwright to ingest and normalise unstructured data for data analytics from various domains including apparel, health, real-estate, vehicles etc for several client world-wide 🌍

Experience

Work history, roles, and key accomplishments

Current

Web Scraping Engineer

Current

Zyte

Mar 2026 - Present (3 months)

Maintaining large-scale Scrapy web crawling projects and using Zyte API for IP rotation, fingerprint management, and anti-bot bypass. Deploying and scheduling spiders on Zyte Scrapy Cloud (Scrapinghub).

Python Scrapy Web Scraping Zyte API IP Rotation Anti Bot

Current

Full Stack Engineer

Current

Union Realtime

Aug 2025 - Present (10 months)

Optimized Selenium-based AWS ECS workers runtime by 94% (15 hours → 1 hour) and reduced AWS cloud cost by 75%, while improving API response time by 60% through DB indexing and correct Django ORM usage. Architected end-to-end daily ETL scraping pipelines for 500K+ records and improved scrape success rate by 80% using CAPTCHA handling, IP rotation, and retry logic.

Selenium AWS ECS Django ORM Database Indexing SQL Optimization AWS Glue Parquet Cloudflare CAPTCHA ETL Pipelines AWS Lambda AWS S3 AWS Cloudwatch Event Driven Architecture EventBridge Amazon EventBridge Python Django Django REST Framework Cloudwatch

Full Stack Engineer

XREF

Aug 2023 - Aug 2025 (2 years)

Led an integrations squad and weekly sprint execution, including client-facing requirements gathering and troubleshooting as the primary communicator. Diagnosed AWS ECS and scaling issues, integrated async AWS Lambda with SNS/SQS, raised unit test coverage to 80% across 3 repositories, and optimized redundant API calls to improve application performance by 45%.

Python Django Angular AWS ECS AWS Lambda Amazon SNS Amazon SQS CI CD Unit Testing API Optimization Troubleshooting ATS Integrations Front End Debugging

Full Stack Engineer

MIT xPro

Feb 2023 - Aug 2023 (6 months)

Worked on an open-source platform based on edX for the MIT xPro website using Django and PostgreSQL. Migrated legacy data to a new CMS and used Grafana log monitoring to identify issues and file JIRA bugs to improve platform stability.

Django PostgreSQL Data Migration CMS Integration Application Log Monitoring Grafana Backend Development Web Development Jira

Full Stack Engineer

Arbisoft

Oct 2021 - Feb 2023 (1 year 4 months)

• Developed a full-stack web application using Django and React.js, leading development sprints.
• Integrated JIRA APIs with DRF and React to automate issue creation and task management.
• Optimized SQL queries, improving database query speeds by 30% and data retrieval efficiency.
• Improved application load speed by 85% using Celery for task scheduling

Software Engineer

Arbisoft

Oct 2019 - Sep 2021 (1 year 11 months)

• Developed Slack bot to automate team stand-up notes, improving meeting efficiency.
• Integrated ETL processes to load processed data into AWS S3, improving data pipeline automation.
• Wrote data ingestion scripts for several apparel brands, using Scrapy and Selenium for large-scale data collection.