Qurat Ul Ain Fatima
@quratulainfatima
Full Stack Developer building production web applications across TypeScript, Node.js and React/Next.js.
What I'm looking for
I’m a Full Stack Developer with 3+ years building production TypeScript systems across Node.js backends and React/Next.js frontends. I focus on API performance, scalable architecture, and shipping measurable outcomes in Agile teams.
At Minute Marketing, I led architecture and made key technical decisions for a full-stack booking and asset-tracking platform. I reduced a critical client-facing API latency from 22s to 1s (95% reduction) by parallelizing dependent queries, moving business logic filters into the database layer, and eliminating over-fetching with selective field projection—without schema changes.
I integrated third-party location APIs for real-time asset monitoring and deliver SSR-powered frontend features in Next.js for cross-device compatibility. I also iterated on booking flow UI variations using user feedback, logging, and error monitoring, and feed findings back into prioritization decisions.
I’m comfortable owning product surfaces end-to-end—from schema design to user-facing delivery—and mentoring teams. Previously at Sentinel AI, I designed backend architecture for attendance and shift management using Node.js, Express.js, React.js and MongoDB, implemented Firebase Cloud Messaging and WebSocket event streams, and enforced secure multi-tenant access with JWT auth and RBAC.
Experience
Work history, roles, and key accomplishments
Senior Full Stack Developer
Minute Marketing
Aug 2024 - Present (1 year 10 months)
Led architecture for a full-stack booking and asset-tracking platform and implemented automation workflows that reduced manual operations across multiple client accounts. Reduced a critical client-facing API from 22s to 1s (95% latency reduction) by parallelizing dependent queries, moving filters into the database layer, and eliminating over-fetching via selective field projection.
Junior Full Stack Developer
Sentinel AI
Dec 2022 - Mar 2024 (1 year 3 months)
Built a computer vision analytics dashboard by translating internal stakeholder requirements into UI iterations based on rapid feedback loops. Designed a scalable Node.js/Express/MongoDB backend for attendance and shift management with schema and index optimization, integrated Firebase Cloud Messaging for real-time notifications and implemented WebSocket event streams.
Education
Degrees, certifications, and relevant coursework
National University of Sciences and Technology (NUST)
Master of Science (Computational Sciences & Engineering), Applied Computer Sciences
2022 - 2024
Grade: 3.56/4.00
Master of Science in Computational Sciences & Engineering with a major in Applied Computer Sciences, completed with a GPA of 3.56/4.00. Studied advanced topics supporting computational and engineering applications from 2022 to 2024.
National University of Sciences and Technology (NUST)
Bachelor of Engineering (Geoinformatics), Computer Sciences and Geographic Information Systems (GIS)
2017 - 2021
Grade: 3.75/4.00
Bachelor of Engineering in Geoinformatics with majors in Computer Sciences and Geographic Information Systems (GIS), completed with a GPA of 3.75/4.00. Studied from 2017 to 2021 with a focus on computing and GIS fundamentals.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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