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Schedule Interview NowMy name is Muhammad Adil H. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Python, Django, Amazon Web Services, GraphQL, REST API, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Mortgage Automation Platform, Social Entrepreneurship Platform, Personalised Clothing for Women, TeleHealth, Databricks ETL, etc.. I am based in Lahore, Pakistan. I've successfully completed 6 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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Techlogix
The project was to develop a chat feature for a web application. I contributed to the project by: • Development of a chat feature's back-end using GraphQL, Node.js, and MongoDB to enable real-time communication and data exchange between users. • Working closely with the front-end developers, project managers, and QAs to ensure customer satisfaction and quality standards for features and integrations. • Participating in code reviews on GitLab.
The project was to develop and maintain web applications using Python, Django, and React.js for a company that provides community management, mentorship management, and submission management solutions for various industries and domains. I contributed to the project by: • Developing and maintaining web applications using Python, Django, and React.js as a full-stack developer. • Managing the infrastructure and domains on AWS Route53 and GoDaddy. Configured DNS records and SSL certificates. Monitored server health and security. • Managing product release deployments using Ansible and AWS Amplify. • Participating in intrateam and third-party code reviews on BitBucket and PullRequest.com. • Coordinating with the product team on feature design and requirements. Providing feedback and suggestions for improving user experience and functionality. Communicating progress and challenges regularly. • Setting up CI pipelines on BitBucket. Using BitBucket pipelines to run tests and perform linting. • Improving the performance of dashboards and graphs by optimizing database queries for faster endpoint responses. • Optimizing Sentry configurations for error reporting cost reduction. Adjusting sampling rate, filters, and integrations to reduce noise and false positives.
The project was to develop an E-commerce web application backed by crawlers and scrapers to collect, clean, and map data from various online clothing brands to a common taxonomy for crafting a personalized experience for each customer based on their profile. I contributed to the project by: • Development of web crawlers/scrappers using Python, Scrappy, and Selenium. • Full-stack development with Ruby on Rails and ReactJS. • Reverse-engineering Javascript web apps, e.g. SPAs, API endpoints, etc. • Designing taxonomy mapping algorithms based on extensive analysis of large datasets from online clothing brands. • Conducting code reviews on GitHub.
The project was to develop a full-stack web application that connects healthcare providers and patients using various platforms and services. The application allows users to access their health records, schedule appointments, communicate with providers, and manage their health goals. As a full-stack developer, I contributed to the project by: • Full-stack development with Python, Django, and ReactJS. • Working closely with the marketing and sales team to launch new features and integrations based on customer feedback and market research. • Integrating multiple EHR platforms, such as DrChrono and AdvancedMD, using RESTful APIs and OAuth 2.0 to enable seamless data exchange and interoperability. • Integrating SSO services, such as Apple, Google, and Facebook, using OpenID Connect and JWT to provide secure and convenient authentication and authorization for users. • Integrating Calendars, such as Outlook and Google, using Microsoft Graph API and Google Calendar API to sync events and appointments across platforms. • Implementing and configuring background jobs using Celery and Redis on AWS Elastic Beanstalk to handle asynchronous tasks and improve performance. • Conducting code reviews on GitHub.
The goal of the project was to build an ETL pipeline for processing Big Data related to restaurants on Databricks, and to develop an API for accessing and querying the data using FastAPI. I contributed to the project by: • Working on building an ETL pipeline from scratch for processing Big Data related to restaurants on Databricks. • API development and documentation by using FastAPI. • Implemented Kafka producers on Databricks through the job scheduler by using Python, SQL, and Jupyter Notebook to stream data from Lakehouse. • Implemented Kafka consumers using Ruby to consume and process the streamed data. • Configuration and Dockerization of the system on AWS.
Bachelor of Science (BS) in Software Engineering
2016-01-01-2020-01-01