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Imama

NUST · 2026 · 418954
Email
imama.bese22seecs@seecs.edu.pk
Phone
923326609783
LinkedIn
https://www.linkedin.com/in/imama14
GitHub

Academic

Program
CGPA
3.35
Year
2026
Education
Software Engineering National University of Sciences and Technology , Islamabad , 3.38 (2026)
Address
FS House , Artillery centre , Attock , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Software Engineering undergraduate with hands-on experience in frontend, mobile, and backend development, complemented by applied work in AI-driven systems. Experienced in building cross-platform Flutter applications, designing scalable web backends, and integrating machine learning models into production-ready systems. Strong foundation in modern web technologies, API development, and data-driven applications, with a proven ability to translate research concepts into deployable software solutions. EDUCATION Software Engineering National University of Sciences and Technology , Islamabad , 3.38 (2026) INTERNSHIP EXPERIENCE Teresol Pvt. Ltd. 24-Jun-2024 - 02-Aug-2024 • Researched Vue.js web app design with focus on state management and user interaction. • Explored distributed database design and scalability trade-offs with MongoDB–Express.js. • Investigated state machine applications (XState) for complex authentication and workflow modeling. Al Raheem Technologies Pvt. Ltd. 16-Jun-2025 - 29-Aug-2025 • Developed RESTful APIs and secure authentication in Laravel, gaining experience in scalable web systems. • Explored distributed architectures, analyzing scalability and real-time performance trade-offs. • Strengthened research skills in data modeling, system benchmarking, and cross-platform integration with Flutter and MySQL. FINAL YEAR PROJECT Kisaan Khidmat – Smart AgriAssist • Developed a cross-platform Flutter mobile application delivering AI-powered agricultural assistance with a focus on performance and usability. • Built end-to-end ML pipelines by aggregating and preprocessing 14,000+ agricultural images and multi-year crop market data, integrating trained models into the app for real-time inference. • Implemented a computer vision-based crop disease diagnosis module, optimizing model deployment for mobile or API-based predictions to help reduce crop losses. • Developed and benchmarked time-series forecasting models and surfaced price predictions through app-integrated services to support farmer decision-making. • Integrated an NLP-powered chatbot into the Flutter app to provide instant, context-aware on-field farming advice. TECHNICAL EXPERTISE Frontend Development • Flutter (cross-platform mobile UI development) • Vue.js (component-based web interfaces) • Responsive UI/UX design, state management • Figma for UI prototyping and design handoff Web & Backend Development • RESTful API development using Laravel • Backend-frontend integration • MySQL, MongoDB (data modeling and queries) • Authentication workflows and API security concepts

AI enrichment

Software Engineering undergraduate with hands-on experience in frontend, mobile, and backend development, complemented by applied work in AI-driven systems. Experienced in building cross-platform Flutter applications, designing scalable web backends, and integrating machine learning models into production-ready systems. Strong foundation in modern web technologies, API development, and data-driven applications, with a proven ability to translate research concepts into deployable software solutions.
Status: ai_done
Provenance
Source file:
Created: 1777448793