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Sadia ImranSI
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Sadia Imran

@sadiaimran1

Software Engineer at NASTP developing C++ system services and Python visualization for compute-intensive workloads.

Pakistan
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At NASTP, I develop backend modules and system services in modern C++ and build Python visualization for system analysis and performance insights.

At Stackware Ltd., I worked on cross-platform backends and AI pipeline integrations, including services that improved data processing throughput and API response times by 40%. I also built PodVerse, a multimodal podcast platform with a RAG pipeline, real-time AI interviews, and video rendering.

Experience

Work history, roles, and key accomplishments

NN
Current

Software Engineer

National Aerospace Science and Technology Park (NASTP)

Sep 2026 - Present (1 month)

Develops backend modules and system services using modern C++ and object-oriented design principles, optimizing execution efficiency for compute-intensive workloads. Builds Python-based visualization for system analysis and performance insights.

SL

Associate Software Engineer

Stackware Ltd.

Jan 2025 - Aug 2026 (1 year 7 months)

Promoted from Backend Intern to Associate Engineer to lead core backend services and AI pipeline integrations. Architected and deployed cross-platform backends using Python (FastAPI), C++, and Qt/QML, improving data processing throughput and API response times by 40%. Engineered production-grade communication protocols for BLE, ESP32, and cloud endpoints. Spearheaded automated testing and CI/CD pi

SL

Backend Engineering Intern

Stackware Ltd.

Oct 2024 - Dec 2024 (2 months)

Engineered backend communication layers and REST APIs interfacing BLE protocols and Google Maps location services. Contributed to full-stack system components in C++ and Python, streamlining data flow between edge hardware and desktop UI.

Education

Degrees, certifications, and relevant coursework

COMSATS University Islamabad logoCI

COMSATS University Islamabad

Bachelor of Science, Computer Science

2022 - 2026

Grade: 3.77/4.0

Bachelor of Science in Computer Science with a CGPA of 3.77/4.0, covering data structures, algorithms, machine learning, and distributed systems.

SM

System Design Masterclass

System Design Masterclass, System Design

Completed a system design masterclass covering distributed systems architecture, high-throughput scaling, and database partitioning.

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