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I'm Muhammad Awais, a Backend Developer with 7 years of experience building scalable and high-performance systems using Python, Ruby on Rails, PostgreSQL, and Redis. I design REST APIs, work with cloud technologies (AWS), and follow DevOps best practices. I enjoy cutting-edge technologies to create robust backend solutions and improve business efficiency. I collaborate within agile teams to deliver results-driven, flexible, and maintainable software.…I'm Muhammad Awais, a Backend Developer with 7 years of experience building scalable and high-performance systems using Python, Ruby on Rails, PostgreSQL, and Redis. I design REST APIs, work with cloud technologies (AWS), and follow DevOps best practices. I enjoy cutting-edge technologies to create robust backend solutions and improve business efficiency. I collaborate within agile teams to deliver results-driven, flexible, and maintainable software.

Muhammad Awais

Full Stack Developer, Web Developer, Programmer, +4

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I'm Muhammad Awais, a Backend Developer with 7 years of experience building scalable and high-performance systems using Python, Ruby on Rails, PostgreSQL, and Redis. I design REST APIs, work with cloud technologies (AWS), and follow DevOps best practices. I enjoy cutting-edge technologies to create robust backend solutions and improve business efficiency. I collaborate within agile teams to deliver results-driven, flexible, and maintainable software.…I'm Muhammad Awais, a Backend Developer with 7 years of experience building scalable and high-performance systems using Python, Ruby on Rails, PostgreSQL, and Redis. I design REST APIs, work with cloud technologies (AWS), and follow DevOps best practices. I enjoy cutting-edge technologies to create robust backend solutions and improve business efficiency. I collaborate within agile teams to deliver results-driven, flexible, and maintainable software.

Available to hire

I’m Muhammad Awais, a Backend Developer with 7 years of experience building scalable and high-performance systems using Python, Ruby on Rails, PostgreSQL, and Redis.

I design REST APIs, work with cloud technologies (AWS), and follow DevOps best practices. I enjoy cutting-edge technologies to create robust backend solutions and improve business efficiency. I collaborate within agile teams to deliver results-driven, flexible, and maintainable software.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Panjabi, Punjabi

Fluent

Sindhi

Intermediate

Work Experience

Senior Software Developer at ONTAB Inc.

April 1, 2023 - Present

Designing and deploying scalable cloud solutions on AWS (EC2, S3, Lambda, CloudFormation, CloudWatch) using IaC with AWS CDK and Terraform; implemented CI/CD pipelines using Jenkins, Git, and AWS CodePipeline; developed AWS Lambda/serverless applications in Python; proficient in Linux-based environments for DevOps automation; built responsive web interfaces with React, TypeScript, and Material UI; integrated AI/LLMs for backend automation; observability and alerting with Datadog.

Full Stack Python and React Engineer at BioMark

March 1, 2024 - October 7, 2025

Part of an agile team of 14+ building a scalable backend architecture with Django REST from scratch; designed RESTful APIs for high scalability; worked on Celery with Redis; developed and optimized frontend components (AngularJS/NgRx); implemented Debezium for CDC with Kafka; built data pipelines to fetch 500+ GB of data from Twilio chat API and visualize using AWS QuickSight; created Lambda-based data fetchers to store Twilio conversations in S3 as CSV; wrote automated tests; implemented Glue crawlers, Athena queries, and Quicksight datasets; scheduled Lambda, Crawler, and Quicksight jobs.

Full Stack Python Engineer at Intellirent

March 1, 2022 - October 7, 2025

Migrated features from Django to a serverless Node.js architecture to reduce infra costs and parser load; migrated the XML syndication feature to partners like SFAA, Zillow, and Corsa; upgraded Django from 2.2 to 3.2 for bug fixes and performance improvements; enhanced Jenkins CI pipeline with ~70% gain in test coverage and deployment efficiency.

Full Stack Python and React Engineer at Devsinc

February 1, 2020 - October 7, 2025

ONTAB FinTech project: integrated multiple APIs (People’s Payments, Plaid, Stripe, TransUnion) to enable fund transfers and asset verification; built 20+ connected APIs to link React frontend with Django backend; implemented Redis-backed queuing (SideKiq-like pattern) for notification processing and batch/concurrency handling; worked on API integrations for payments and risk checks.

Full Stack Python and React Engineer at Devsinc

February 1, 2020 - October 7, 2025

Window – New York-based fashion platform: developed 25+ RESTful APIs with Django to connect React frontend; integrated Shopify for e-commerce operations; enhanced search with Elasticsearch with Redis caching; automated data scraping from multiple fashion sites using Scrapy and Selenium with Docker packaging; implemented AI/LLM-powered recommendations; used Datadog for observability; built data pipelines and monitoring; leveraged Kubernetes, Docker, and AWS services for deployment and scalability.

Senior Software Developer at ONTAB Inc.

April 1, 2023 - October 28, 2025

Designing and deploying scalable cloud solutions on AWS (EC2, S3, Lambda, CloudFormation, CloudWatch) with infrastructure as code using AWS CDK and Terraform. Implemented CI/CD pipelines with Jenkins, Git, and AWS CodePipeline to streamline deployment workflows and reduce release times. Developed AWS Lambda functions and serverless applications in Python to enhance automation, fault tolerance, and scalability. Proficient in Linux-based environments; used Python for scripting and automation of DevOps tasks. Built responsive web interfaces with React, TypeScript, and Material UI to ensure excellent UX across devices. Integrated AI/LLMs for backend automation tasks and applied observability tooling with Datadog for real-time monitoring and alerting.

Full Stack Python and React Engineer at BioMark

March 1, 2024 - March 1, 2024

Project: BioMark - Singapore-based healthcare startup with 1K+ daily users, providing Doctor Platform, Lab Platform, and Riders App. Part of an agile team of 14+ to develop a scalable backend architecture with Django REST from scratch. Designed RESTful APIs architecture for backend scalability; worked on Celery with Redis. Developed and optimized Angular components for modularity, reusability, and performance. Used Debezium to implement Change Data Capture (CDC) with Kafka. Implemented data pipelines to fetch 500+ GB of data from the Twilio chat API and visualize statistics in AWS QuickSight. Automated testing; Glue crawler for daily data ingestion; connected Athena with Glue Data Catalog for ad-hoc queries and QuickSight integration. Lambda functions to fetch Twilio conversations and store in S3 as CSV; schedulers for Lambda, Crawler, and QuickSight.

Full Stack Python Engineer at Intellirent

March 1, 2022 - March 1, 2022

Project: Intellirent - US-based property rental site with 1M+ users. Worked in an agile team of 15, migrating features from the Django application to a serverless architecture with NodeJS to reduce infra costs and parser load. Migrated the syndication feature for XML feeds to partners (SFAA, Zillow, Corsa). Migrated from Resque to Sidekiq for thread safety. Upgraded Django from 2.2 to 3.2 to gain bug fixes and performance improvements, reducing technical debt. Improved Jenkins CI pipeline performance by around 70% through better test coverage.

Full Stack Python and React Engineer at Devsinc

February 1, 2020 - February 1, 2020

Developed 25+ RESTful APIs using Django to connect with a React frontend and integrated Shopify for e-commerce operations. Enhanced search functionality with Elasticsearch and Redis caching; optimized large data imports via batch processing. Automated product data scraping from multiple fashion sites using Scrapy and Selenium, packaged with Docker for scalable deployment. Integrated AI/LLMs-powered recommendations and used Datadog for infrastructure monitoring and observability. For ONTAB project, integrated third-party APIs including People’s Payments, Plaid, Stripe, and TransUnion to support transfers and history verification. Implemented 20+ APIs to connect React and Django; used SideKiq to process millions of notifications with Redis-based queues, concurrency tuning, and Redis persistence for durability.

Full Stack Python Engineer at BioMark

March 1, 2022 - March 31, 2024

Developed backend systems using Django, Python, and PostgreSQL, integrating Redis for caching and optimizing data flow. Designed and implemented RESTful APIs to handle large-scale data from various sources, including Twilio API. Utilized AWS services (QuickSight, Glue, Athena) for data pipeline implementation and analytics, which helped increase business by 15%. Collaborated with an agile team to maintain a high level of performance across multiple systems while managing tight deadlines.

Full Stack Python Engineer at Intellirent

February 1, 2020 - March 1, 2022

Migrated legacy features to a serverless architecture using NodeJS and AWS Lambda, reducing infrastructure costs. Enhanced backend performance and optimized PostgreSQL databases for speed and reliability. Worked on DevOps tasks like managing CI/CD pipelines using Jenkins and Git, improving efficiency by 70%. Collaborated with cross-functional teams to ensure code quality, utilizing best practices for development and deployment.

Associate Full Stack Python and React Engineer at Devsinc

June 1, 2017 - February 1, 2020

Designed and developed RESTful APIs with Ruby on Rails and Python, powering e-commerce and payment systems. Integrated Redis for performance improvements and worked on backend tasks to ensure smooth operation. Applied AI/LLM-driven recommendations to enhance user experience on the platform. Collaborated on DevOps tasks with Docker, Kubernetes, and AWS Fargate to ensure scalability and operational efficiency.