Muhammad Ilyas

Led design, development, and maintenance of scalable full-stack applications using Django, Flask, FastAPI, and React. Architected and deployed microservices with Docker and Kubernetes, supported by automated CI/CD. Built AI-powered workflow and insights features by integrating LLM and NLP components, and delivered high-performance REST APIs and async backends. Implemented web scraping and data extraction using Scrapy and Selenium and applied data analysis with Pandas, NumPy, and scikit-learn.

Expanded and maintained scalable web applications using Python with Django and Flask, with React and JavaScript for the frontend. Developed REST APIs to connect frontend and backend, collaborated with product and design teams, and improved performance and user experience through code optimization. Worked on AWS and GCP cloud infrastructure to improve reliability and scalability, contributed via code reviews, and integrated third-party APIs to enhance user workflows.

Developed scalable backend systems with Python, FastAPI, and Django for high-traffic enterprise applications. Built REST APIs and microservices integrating React frontends and third-party platforms, and implemented async data pipelines using Celery and Redis. Set up CI/CD with GitHub Actions, Docker, and Kubernetes deployments, optimized PostgreSQL queries and caching, and added AI-driven automation services for production use.