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I'm Zeeshan Mumtaz, a full-stack software engineer and AI specialist focused on architecting scalable enterprise solutions across Android, iOS, and web platforms. I’ve led development of HRMS, shift management, attendance systems, and AI-driven facial recognition, delivering robust, secure multi-tenant platforms. I love bridging deep learning with high-performance software—using Clean Architecture, state management like BLoC and Provider, Flutter, and production-grade API integration. I thrive in Agile teams, turning complex requirements into reliable, user-centered products.…I'm Zeeshan Mumtaz, a full-stack software engineer and AI specialist focused on architecting scalable enterprise solutions across Android, iOS, and web platforms. I’ve led development of HRMS, shift management, attendance systems, and AI-driven facial recognition, delivering robust, secure multi-tenant platforms. I love bridging deep learning with high-performance software—using Clean Architecture, state management like BLoC and Provider, Flutter, and production-grade API integration. I thrive in Agile teams, turning complex requirements into reliable, user-centered products.

Zeeshan Mumtaz

Full Stack Developer, AI Developer, Web Developer, +2

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I'm Zeeshan Mumtaz, a full-stack software engineer and AI specialist focused on architecting scalable enterprise solutions across Android, iOS, and web platforms. I’ve led development of HRMS, shift management, attendance systems, and AI-driven facial recognition, delivering robust, secure multi-tenant platforms. I love bridging deep learning with high-performance software—using Clean Architecture, state management like BLoC and Provider, Flutter, and production-grade API integration. I thrive in Agile teams, turning complex requirements into reliable, user-centered products.…I'm Zeeshan Mumtaz, a full-stack software engineer and AI specialist focused on architecting scalable enterprise solutions across Android, iOS, and web platforms. I’ve led development of HRMS, shift management, attendance systems, and AI-driven facial recognition, delivering robust, secure multi-tenant platforms. I love bridging deep learning with high-performance software—using Clean Architecture, state management like BLoC and Provider, Flutter, and production-grade API integration. I thrive in Agile teams, turning complex requirements into reliable, user-centered products.

Available to hire

I’m Zeeshan Mumtaz, a full-stack software engineer and AI specialist focused on architecting scalable enterprise solutions across Android, iOS, and web platforms. I’ve led development of HRMS, shift management, attendance systems, and AI-driven facial recognition, delivering robust, secure multi-tenant platforms.

I love bridging deep learning with high-performance software—using Clean Architecture, state management like BLoC and Provider, Flutter, and production-grade API integration. I thrive in Agile teams, turning complex requirements into reliable, user-centered products.

Skills

Experience Level

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Language

English

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Work Experience

Full-Stack & AI Developer at THE NERD CAMP

January 1, 2025 - Present

Architect, develop, and maintain high-performance full-stack applications for Android, iOS, and Web/Desktop using Flutter, Dart, and production-grade Clean Architecture. Design and deploy complex enterprise software modules, including HRMS utilities, dynamic shift scheduling calendars, automated attendance trackers, and AI-driven facial recognition security check-ins. Develop, optimize, and natively integrate custom Machine Learning and Computer Vision models into mobile frameworks to enable real-time, low-latency face matching and identity verification. Build, secure, and document scalable RESTful APIs and backend web services to support multi-tenant enterprise configurations and high-concurrency workloads. Collaborate in cross-functional Agile teams to execute end-to-end sprints, integrating Firebase services, biometric SDKs, and data visualization dashboards.

Data Coordinator & Systems Analyst at RAJA SABIR KHAN & COMPANY

January 1, 2024 - October 1, 2025

Managed enterprise data collection pipelines and designed analytics systems utilizing SQL, Python, and Power BI to optimize workforce allocation and operational workflows. Conducted thorough Exploratory Data Analysis (EDA) and automated data cleansing routines to transform raw, unstructured operational datasets into interactive management dashboards. Standardized reporting frameworks across multiple corporate departments, increasing workflow tracking transparency, shift compliance, and data accuracy.