Imran Malik

Led full-stack backend, infrastructure, and DevOps delivery for EDI and system integrations, automating critical operations and establishing scalable cloud-native architectures.

• Spearheaded automation of 90%+ vendor dropship operations, scaling to 3,600+ weekly orders via fully touchless microservices built with FastAPI and deployed on GCP.
• Reduced fulfillment time from 72 hours to under 6 minutes by developing an in-stock automation engine integrated with SellerCloud, leveraging custom FastAPI services and cloud-based warehousing workflows.
• Architected and implemented a company-wide data pipeline and warehouse foundation using GCS, BigQuery, and Power BI, enabling comprehensive cross-team analytics for forecasting, aging, and fulfillment.
• Built critical forecasting APIs (Reserve Distinction, Inventory Aging) in under 4 hours each using FastAPI, integrating them into operational dashboards for real-time inventory segmentation.
• Streamlined onboarding of enterprise EDI partners (e.g., BestBuy, McKesson) and scoped modular integration layers for Wayfair and PetSmart, enabling scalable B2B workflows and automating 1,400+ freight forwarder orders.

Developed core backend microservices and improved engineering processes, significantly enhancing system security, code quality, and team efficiency.

• Developed the authentication microservice using Python, FastAPI, PostgreSQL, and AWS, enabling seamless authentication across all customer-facing services.
• Automated security vulnerability detection with Snyk in CI pipelines, resolving 90% of identified open-source issues.
• Improved code quality through the implementation of type hinting (Black, Flake8, Mypy) and structured code reviews.
• Reduced developer onboarding time to 3 hours by creating comprehensive documentation and guides for microservices.
• Upgraded microservices from Python 3.9 to 3.12, resulting in improved performance and compatibility across the system.

Built scalable backend APIs and optimized database performance, significantly increasing user engagement and system reliability.

• Developed scalable APIs with FastAPI, Django, PostgreSQL, Redis, and Celery, increasing users by 120% and boosting customer satisfaction.
• Engineered a fault-tolerant communications microservice (Python, FastAPI, MongoDB, RabbitMQ) achieving 99.99% uptime and high reliability.
• Optimized MongoDB indexing, cutting email response times from 550ms to 120ms and reducing errors by 75%.
• Integrated email service with Metabase, enabling 100% operational visibility and fraud detection, and increasing test coverage to 90%.
• Implemented on-call incident management with Datadog and OpsGenie, achieving a 15-minute resolution time.

Developed and optimized customer-facing features and backend systems, enhancing user experience and operational efficiency.

• Developed and optimized customer-facing features using ReactJS, Python, and GCP, improving customer retention and on-time delivery.
• Redesigned Self-Scheduling, optimizing APIs and system architecture for a 50% faster UI and enhanced user experience.
• Automated reminders via Email, SMS, and Firebase, significantly boosting customer engagement and reducing missed appointments.

Collaborated with the marketing team to maintain and update the organization's primary landing site.

• Supported the marketing team in maintaining the NetsolTech.com landing site, ensuring content accuracy and site functionality.

Created motovlogging, travel, and food vlogs across Bangkok and Thailand.

Built a multi-vendor eCommerce platform with Next.js & Hostinger.

Developed an AI-driven tutoring system using ChatGPT API/Django and VueJS.

Developed a deep learning model for fabric defect detection.