Arslan Minhas

I'm a certified software engineer with over 8 years of experience building and scaling modern web applications across industries like healthcare, finance, logistics, and retail. I specialize in backend development with Python, using frameworks like Django and FastAPI, and create responsive, user-friendly frontends with React and TypeScript. My recent work has focused on designing microservices architectures deployed on AWS, orchestrated with Kubernetes, and managed through robust CI/CD pipelines using tools like GitHub Actions, Terraform, and Docker.

I've also built real-time data processing systems with Kafka and Redis, and implemented observability with Prometheus, Grafana, and ELK. Lately, I've been integrating AI/ML components into applications to power features like intelligent search, predictive analytics, and automation—mostly using AWS SageMaker, OpenAI APIs, and TensorFlow.

Senior Software Engineer - Technumen - New York, United States

(2022-07)

Led the end-to-end architecture and development of enterprise SaaS platforms for Enterprise to Startup clients for the company, with a strong emphasis on high availability, scalability, and security. Designed and deployed modular microservices using Python, primarily with Django and FastAPI, optimized for high throughput and low latency in real-time transaction environments. Built dynamic, data-rich dashboards using React.js and TypeScript, integrating with backend APIs to deliver interactive, real-time user experiences.

Implemented fully automated CI/CD pipelines with Docker, Kubernetes, and GitHub Actions, enabling blue-green deployments and cutting release cycle time by 40%. Integrated observability and monitoring using Prometheus, Grafana, and ELK Stack, ensuring proactive system health management and rapid incident response. Collaborated across cross-functional teams to align backend architecture with product requirements, and drove backend performance tuning through profiling, caching (Redis), and asynchronous task handling (Celery, RabbitMQ).

• Python + Django / FastAPI: Designed APIs and modular microservices powering storefront functionality and real-time operations.
• React + TypeScript: Built customizable, high-performance dashboards and client-facing UIs.
• Docker, Kubernetes, GitHub Actions: Orchestrated CI/CD pipelines for reliable and fast delivery.
• Prometheus, Grafana, ELK Stack: Enabled observability across distributed workflows.
• PostgreSQL, Redis: Optimized database performance and caching for critical requests.
• Cross-functional collaboration: Aligned technical work with Marketfuel's ecommerce, fulfillment, reporting, and security goals.

Senior Software Engineer - RMI Insights

(2019-01 - 2022-06)

Built and scaled FoodBAM's restaurant inventory and ordering platform, serving thousands of operators with real-time order, costing, and inventory features. Developed backend services in Python and Django, delivering RESTful APIs for order management, pricing, and inventory workflows. Enabled live order tracking with WebSockets, Django Channels, Celery, and Redis.

Created responsive UIs with React, Redux, and Bootstrap, improving usability for mobile and desktop users. Managed infrastructure using Docker, Jenkins, and AWS EC2, and optimized performance with PostgreSQL tuning and caching via Redis. Implemented monitoring and logging with New Relic, Sentry, and Logstash, ensuring platform reliability.

Worked cross-functionally to launch features like recipe costing, rebate tracking, and automated reordering. Mentored junior developers and led code reviews to maintain clean, scalable codebases.

Full-Stack Web Engineer - gener8tor

(2017-11 - 2018-12)

Built and scaled FoodBAM's restaurant inventory and ordering platform, serving thousands of operators with real-time order, costing, and inventory features.

• Developed backend services in Python and Django, delivering RESTful APIs for order management, pricing, and inventory workflows.
• Enabled live order tracking with WebSockets, Django Channels, Celery, and Redis.
• Created responsive UIs with React, Redux, and Bootstrap, improving usability for mobile and desktop users.
• Managed infrastructure using Docker, Jenkins, and AWS EC2, and optimized performance with PostgreSQL tuning and caching via Redis.
• Implemented monitoring and logging with New Relic, Sentry, and Logstash, ensuring platform reliability.
• Worked cross-functionally to launch features like recipe costing, rebate tracking, and automated reordering.
• Mentored junior developers and led code reviews to maintain clean, scalable codebases.

Masters Degree - Metropolitan College of New York (2022)